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For each table, identify the primary key and the foreign key(s). If a table does not have a foreign key, write None in the space provided.
Do the tables exhibit entity integrity? Answer yes or no, and then explain your answer.
All rows under the primary key TUCK_NUM are uniquely identified and there are no null entries
All rows under the primary key BASE_CODE are uniquely identified and there are no null entries
All rows under the primary key TYPE_CODE are uniquely identified and there are no null entries
19. Do the tables exhibit referential integrity? Answer yes or no, and then explain your answer. Write NA (Not Applicable) if the table does not have a foreign key.
All values under the foreign keys BASE_CODE and…
Colonel, C., Morris, S., & Rob, P. (2012). Database Systems: Design, Implementation, and Management (10th edition). Boston, MA: Cengage Learning.
elational Databases in e-Commerce
Of the many uses of relational databases throughout enterprise software their use for supporting e-commerce initiatives and programs provides a foundation for assessing their performance at diverse data and taxonomy management, and scalability of transactions as well. The scalability, security and speed of relational databases when used for e-commerce tasks push them to the limits of performance and customization as well. An example of this is the widespread use of relational databases in creating and sustaining distributed order management systems (Connolly, Begg, 2006).
As e-commerce sites including Amazon.com, Apple, Dell, Expedia and others all rely on a series of catalogs that are unified through a common series of taxonomies. These catalogs and their taxonomies they are part of define how the logic and workflows of the distributed order management system operates over time. elational databases, many of them integrated to at the logical records level, are…
Thomas M. Connolly, & Carolyn E. Begg. (2006). A Constructivist-Based Approach to Teaching Database Analysis and Design. Journal of Information Systems Education, 17(1), 43-53.
Jia-Lang Seng. (2003). A study on industry and synthetic standard benchmarks in relational and object databases. Industrial Management + Data Systems, 103(7), 516-532.
They in short link and map ideas that already exist, creating real time answers to questions as they are applied to new and archived knowledge or action plans.
According to IDC reports, most data warehouses will be stored in a columnar fashion and not in rows, reporting and data collection problems will be solved with databases that have no formal schema at all, horizontal scalability through clustering will be achieved by large-scale database servers; and most OLTP databases will either reside entirely in memory or be augmented by an in-memory database. These new systems will encourage companies to forget disk-based partitioning schemes, buffer management, indexing strategies and embrace a world of large-memory models, many processors with many cores, clustered servers and highly compressed column wise storage. (Prakash, 2010)
The formats mentioned her by Prakash (2010) are fundamentally responsive to a new form of data storage and formatting, where objects are…
Booch, G (1991).: Object-oriented Design with Applications. Benjamin Cummings, Redwood
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Standard-elational and Object-elational Databases
Software development has experienced evolution over the past few decades given the increasing demands for better information systems in today's society, especially in the modern business environment. The evolution of software development during this period has also been influenced by the tremendous changes in the ways with which computers are used and programmed. The changes in software development have contributed to the emergence of different categories of databases, which are basically defined as repositories for assorted but interrelated pieces of data or information. Through the evolution of software development, database management systems have been transformed. The most common classifications of databases emerging from the transformation of database management systems include standard-relational and object-relational databases.
Standard-relational databases are those that support interactive data structures and utilize data manipulation language that is akin to relational algebra with regards to its power. Since they utilize powerful data manipulation language,…
Bright Planet. (2012, June 28). Structured vs. Unstructured Data. Retrieved May 5, 2017, from https://brightplanet.com/2012/06/structured-vs.-unstructured-data/
Robie, J. & Bartels, D. (n.d.). A Comparison Between Relational and Object Oriented Databases for Object Oriented Application Development. Retrieved from University of California San Diego website: http://db.ucsd.edu/static/cse132b-sp01/RelvsObj.pdf
Compare and contrast Microsoft Access, Microsoft SQL Server, DB2, and Oracle database programs
Providers: Microsoft Corporation provides Microsoft Access and SQL Server, Oracle by Oracle Corporation and DB2 is a product of IBM.
Brief about each:
MS Access: Microsoft Access is a database, which comes bundled in Microsoft Office Products. Access is fully compatible with Active Server Pages (ASP) scripting. Database programs such as Access (sometimes called Relational Database Management systems or RDBMS) are used to store information, often large amounts of information. It can be used as a flat-file database (using a single table) or a relational database (using more than one table linked together). Access database applications can be produced for a large number of database situations including financial and scientific data - with excellent results. Access comes equipped with Wizards, which help the novice to create tables, forms, queries and reports. A complicated relational database…
The longest SQL statement in Oracle is of 16,777,216 bytes, 65,536 bytes (Network packet size 4 KB, by default) in SQL Server, approximately 64,000 bytes in MS Access whereas in DB2 it is of 65535 bytes. Microsoft Access 2000 falls into the desktop category and works best for individuals and workgroups managing megabytes of data. In comparison with SQL Server 2000, Access uses file-server architecture, rather than client-server architecture. Access 2000 has many restrictions in comparison with SQL Server 2000 and cannot be used in the case you want to build stable and efficient system with many concurrent users
It is very difficult to compare all the four on a same platform. It is not true that Oracle 9i Database is better than DB2 Universal Database v8.1 or vice versa. Both products can be used to make stable and proficient systems and the stability and effectiveness of your applications and databases depend rather upon the experience of the database developers and database administrator than the database's provider. It all depends on the use and requirements. If the need is to make a scalability, security, and robustness system, you should use SQL Server instead of Access. Because Access 2000 does not support atomic transactions, it does not guarantee that all changes performed within a transaction boundary are committed or rolled back. SQL Server is integrated with Windows NT security, but Access is not. Access 2000 databases cannot be restored to the point of failure, when SQL Server databases can be. This makes administering Access 2000 databases more expensive than administering SQL Server 2000 databases. So, you should use Access 2000 database, only when you need to store a small amount of data in a single user (or few users) environment, or when you have very low resources, such as memory or disk. In other case, use MSDE or SQL Server. Similarly we can't compare SQL Server 2000 with DB2 Universal Database v8.1 or vice versa. Both products can be used to build stable and efficient system and the stability and effectiveness of your applications and databases depend rather from the experience of the database developers and database administrator than from the database's provider. But SQL Server 2000 has some advantages in comparison with DB2 Universal Database v8.1 and vice versa.
Databases and their relational file structures have also progressed to the point of being open in architectural structure enough to allow for real-time updates via XML calls and integration points throughout individual and shared files (oth, Hernandez, Coulthard, Yan, et al., 2006). This open architecture-based approach to XML integration is also making databases ideally suited for transaction-intensive environments throughout e-commerce websites and throughout complex transactions involving multiple selling partners through a supply chain as well (Smyrlis, 2005). As a result, databases are the foundation of distributed order management, enterprise content management, enterprise resource planning (EP) and Customer elationship Management (CM) systems.
Databases and Security
Databases in organizations and governments often hold the most confidential data that exists and therefore need to be protected extremely well. The dominant standard for database security is ACID (atomicity, consistency, isolation, durability) compliance (Dolgicer, 1993). When an ACID test of compliance is completed on a…
Dolgicer, Max (1993, June). The ACID test for distributed transactions. Data Communications, 22(9), 25.
Araby Greene (2008). Managing subject guides with SQL Server and ASP.Net. Library Hi Tech, 26(2), 213-231.
Margo Hanna (2004). Data-mining algorithms in Oracle9i and Microsoft SQL Server. Campus - Wide Information Systems, 21(3), 132-138.
Ken Krizner. (2002, May). Turning inventory into profits. Frontline Solutions, 3(5), 16-20.
Microsoft supports distributed component objects via distributed COM (DCOM). DCOM use remote procedure calls to organize data between processes and computers so that components appear to have the same word size, bit orientation, and address space. DCOM is a direct competitor to CORA, discussed next.
V. Common Object Request roker Architecture (CORA)
CORA is OMG's open, vendor-independent architecture and infrastructure that computer applications use to work together over networks (CORA asics). Using a standard protocol, a CORA-based program from any vendor, on almost any computer, operating system, programming language, and network, can interoperate with a CORA-based program from the same or another vendor, on almost any other computer, operating system, programming language, and network.
The core foundation of CORA is the Object Request roker (OR) that provides an interface between requesting objects and receiving objects (CORA, TechTarget). OR support in a network of clients and servers on different computers means…
Chand, M. (2000, June 25). What is ADO? Retrieved from Web site: http://www.mindcracker.com/mindcracker/c_cafe/ado/ado1.asp
Comparing OLE DB and ODBC. SAS. Retrieved October 11, 2004 from Web site: http://22.214.171.124/search?q=cache:SG8oogJgknEJ:ftp.sas.com/techsup/download/v8papers/odbcdb.pdf+ODBC+and+%22OLE+DB%22+differences&hl=en
CORBA, TechTarget. Retrieved October 11, 2004 from Web site: http://searchdatabase.techtarget.com/sDefinition/0,sid13_gci213865,00.html
CORBA Basics. Object Management Group. Retrieved October 11, 2004 from Web site: http://www.omg.org/gettingstarted/corbafaq.htm
Design citeia exist at the levels of the technical, system integation aspects of the database to othe systems though XML. This integation is citically impotant to ensue that the applications ceated can be effectively used ove time and not have any scalability issues. Thee is also the need fo designing the databases at the pesentation laye to povide fo scalability and flexibility of being able to ceate applications elatively quickly at the potal level. This is especially impotant fom a Business Pocess Management (BPM) standpoint as databases must be able to suppot the vaious pocess wokflows as defined as pat of business pocess e-engineeing effots ove time. Thee is also the need fom a design standpoint to have a continued development initiative going to captue use needs ove time and include them into the next geneation of database updates. The use of councils to ceate update plans and define the…
references and real-time workload in information services. Information Systems Research, 11(2), 177-196.
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Gerald Post & Albert Kagan (2001). Database management systems: Design considerations and attribute facilities. The Journal of Systems and Software, 56(2), 183-193.
Ji Ma, Mehmet A Orgun. (2008). Formalising theories of trust for authentication protocols. Information Systems Frontiers, 10(1), 19-32.
Reagan, J., & Rowlands, I.. (2007, January). Key Technologies Enabling a Seismic Shift in Enterprise Data Management. Business Intelligence Journal, 12(1), 17-25.
Oracle supports stored programs such as stored procedures and packages. This enables the developers to centralize application logic in the database. Oracle provides powerful functions and sub-queries in its SQL statements. Developers can distribute systems by database links, materialized views and distributed queries. This feature saves much cost for developing distributed systems and applications. And there's a lot of features integrated with Oracle, compare to other database it is very expensive but it is extremely powerful and fast.
D2 is a relational database system developed by IM Corporation. It has been designed for use on large mainframe computer systems running on a variety of platforms including SunOS, Solaris, Linux, Windows 95/98/NT/2000 and HP-UX. D2 supports many variety of platforms, standards and packaging options to deliver the needs of every business D2 database delivers a flexible and cost-effective database platforms achieving demand on business applications. It further leverages the resources with…
Microsoft Online. Retrieved 20 Nov 2004, from Microsoft.Com.
Web site: http://www.microsoft.com
SQL Server 2000 vs. Oracle 9i. Retrieved 20 Nov 2004, from MSQLCITY.Com. Web site: http://www.mssqlcity.com/Articles/Compare/sql_server_vs_oracle.htm
MySQL: The world's most popular open source database. Retrieved 20 Nov 2004, from MYSQL.Com.
Database Data Warehouse Design
Our company, Data Analytic Limited, specializes in collecting and analyzing data for various organizations. Over the years, we have assisted various companies to turn raw data into valuable information that assists the companies in making effective decision profitable in the short and long run. Our research and data analytics are geared towards giving extra edge to various companies. Our services include processing and analyzing terabytes of data to provide customer meaningful information for business decision and enhance competitive market advantages. ecent growth of our company necessitates the needs to design and develop data warehouse that will accommodate large volume of customer data.
Objective of this project is to design and develop the data warehouse for our company.
Importance of Data Warehousing for our Organization
Comprehensive portfolios of our business include Business, Market, and Financial research, Data processing services and Domain based analytics. While the relational database…
Hillard, R. (2010). Information-Driven Business. UK. Wiley.
Microsoft (2012).Data Warehousing | Microsoft SQL Server 2012. Microsoft Corp.
Patil, P.S., Srikantha, R., Suryakant, B.P. (2011). Simplification in the Reporting and Analysis Optimization of the Data Warehousing System:, Foundation of Computer Science, 9 (6): 33 -- 37.
Rostek, K. (2010). Data Analytic Processing in Data Warehouses. Foundations of Management, 2(1), (2010), 99-116.
Databases and egulatory Compliance Challenges
The advent of technology has increased the popularity of database usage in firms, yet the legislation regulating the field has yet to be finalized. The changing nature of the IT sector, coupled with the legislative traits, creates several situations in which the companies find it difficult to comply with the regulations. This paper recognizes some of those difficulties, and also proposes some solutions.
egulatory challenges for databases
No sector in the modern day society evolves as rapidly as the technologic domain. And the innovations developed at this level come to impact all aspects of life, from the spending of the leisure time to the completion of the most challenging professional tasks.
The applications of technology within the contemporaneous society are numerous and complex, one specific example in this sense being represented by superior capabilities for data management. The management of the information integrates the…
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(2006). Regulatory compliance and database management. Sandhill Consultants. http://www.sandhillconsultants.com/whitepapers/regulatory_compliance_and_database_management_whitepaper.pdf accessed on October 26, 2012
(2012). Database regulatory and compliance issues. Altius IT. http://www.altiusit.com/files/articles/articlewpdatabase.htm accessed on October 25, 2012
This would also mean that the shadowing process goes on behind the scenes, and one need not even be aware that the process is in fact going on at any point of time; it can go on without creating any sort of disturbance to the user of the application, at any point of time. (Shadow Files)
Another important advantage of using the shadowing of a database is that data would be immediately available, even when the primary database has failed due to some reason or another. Non-exclusive usage of the primary database is also permitted, and this means that the database will not be locked, and this in turn means that it can be updated and changed during the process of its creation. Computer resource can be conserved, and this is because of the fact that shadowing does not use any separate process; the database process gives the shadow database…
Database Shadowing System with data tags that select an operation of the save command"
Retrieved at http://www.freepatentsonline.com/5230075.html . Accessed 4 October, 2005
Data Recovery without data loss" Retrieved at http://www.enet.com/enet.com.nsf/PAGES_RRDF_Recov.html?OpenPage&charset=iso-8859-1Accessed 4 October, 2005
Eng, Audra. (July, 2004) "Sygate Secure Enterprise, 4.0" Retrieved at http://www.sygate.com/solutions/datasheets/wp/WP-Sygate-Secure-Enterprise.pdf. Accessed 4 October, 2005
Databases in the Work Place
We are in the information age and the effective management of data is paramount in almost all aspects of our life. All businesses today thrive on the availability of vast pool of data pertaining to their domain and thus databases constitute an indispensable aspect of all businesses. Having access to a huge database and the intelligent interpretation of the data therein holds the key to business success. I am working as a database engineer for "Intelligent Email Solutions," a company which specializes in offering email based intelligent customer relationship management solutions. Let us have a brief overview of the use and the importance of databases in our company.
Our clientele are big corporations like Nike, Citibank, ANZ Grindlays, Jc penny etc. We provide automated email-based customer relationship management using our novel 'semantic engine' which scans through thousands of customer emails and categorizes them and…
Analysis and Overview of Database ystems in the Enterprise
The pervasive adoption of databases for aggregating, analyzing, parsing, reporting and storing data continues to exponentially increase over time, as the information needs of companies continued to increase. The foundation fo nearly every enterprise-wide system and computing platform includes integration to databases of many types, from object-oriented to relational (Lungu, Velicanu, Botha, 2009). Every Enterprise Resource Planning (ERP) system today relies on databases for product, pricing, costing, production scheduling, service coordination and manufacturing execution task coordination as well (Bremer, Carey, 1987). Databases have become an essential component of every enterprise system in use today, from coordinating supply chains, sourcing, production and tracking customer activity and sales through Customer Relationship Management (CRM) systems (Madduri, hi, Baker, Ayachitula, 2007). Object-oriented databases are pervasively used in Computer-Aided Drawing (CAD) applications as well, given their speed and accuracy in managing geographic and graphic primitives…
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To implement this algorithm, it is essential to simulate locking of what the books mentions as an item X that has been transcribed by transaction T
is either committed or aborted. This algorithm is not what would turn into deadlock, for the reason that T. waits for T
only if TS (T) > TS (T
) (Elmasri, 2011).
According to the book, strict timestamp ordering differs from basic timestamp ordering because basic timestamp ordering is utilized whenever some transaction T. attempts to subject a read item (X) or a write item (X) operation, the basic to algorithm is the one that compares the timestamp of T. with read_TS (X) and write_TS (X) to ensure that the timestamp where as the strict timestamp does not. Another difference is the fact that the basic lets us know that if the proper order is violated, then transaction T. is the one…
Elmasri, R. & . (2011). Fundamentals of database systems (6th ed). Boston, MA:.: Addison-Wesley.
Comparing Microsoft Access, SQL, IBM DB2 and Oracle databases is presented in this analysis, taking into account the key features of ACID Compliance, Data partitioning, interface options, referential integrity, operating systems supported, and support for transactions and Unicode. Each of these factors is initially defined followed by a table comparing them across the database types.
Definition of Comparison Factors
At their most fundamental level, all databases have support for relational data models and the ability to index data through the use of a wide variety of taxonomies or organizational structures (Basumallick, Wong, 1996). elational Database Management Systems (DBMS) however all have the ability to manage transactions with the greatest efficiency given the design of these systems to support multiple transactions at once, running concurrently from each other. The characteristic of an operating system being able to manage thousands of concurrent transactions at the same time is often referred…
Basumallick, Swagato, & Wong, Johnny SK. (1996). Design and implementation of a distributed database system. The Journal of Systems and Software, 34(1), 21.
Tony Politano. (2008). Structured and Unstructured: The What, Why and How of Convergence. DM Review, 18(6), 20.
Stonebraker, M.. (2010). In Search of Database Consistency. Association for Computing Machinery. Communications of the ACM, 53(10), 8.
Visual Basic Scripting Edition, also known as VB Script is a common and popular scripting language based on Microsoft's Visual Basic. VB script is considered lightweight, and easy to use and is interpreted at very rapid speeds. The language of VB Script is mostly not dependent on case or syntax, making working with tool very easy. The use of VB Script and scripting in general is very beneficial in many computing applications, especially for databases, as the rest of this summary will focus on to highlight the repetitive tasks that can be handled with a well written script.
Adding and deleting raw data into a database can be significantly enhanced with a useful script that assists in the immediate sorting and filing of the data. The more complex and complicated the data, the more valuable the scripting comes into play. This same idea can be used when it is necessary…
These personal productivity systems also tend to be islands of customer data that need to be integrated into larger customer information systems to be effective (Zahay, 2008). Enterprise-class DBMS are capable of integrating to broader process workflows due to their underlying technical design. In addition, these DBMS are often used for more advanced customer strategies including data mining, business analytics of customer bases, and the development of long-term loyalty campaigns. All of these types of analysis are not possible on the personal productivity class of databases. The limitations of enterprise DBMS however are the their cost for implementing in larger companies, and the need for training users how to use the many functions in these databases.
Daniel E. O'Leary (2008). Supporting decisions in real-time enterprises: autonomic supply chain systems. Information Systems and eBusiness Management, 6(3), 239-255. etrieved May 8, 2008, from ABI/INFOM Global database. (Document ID: 1475085461).
Daniel E. O'Leary (2008). Supporting decisions in real-time enterprises: autonomic supply chain systems. Information Systems and eBusiness Management, 6(3), 239-255. Retrieved May 8, 2008, from ABI/INFORM Global database. (Document ID: 1475085461).
Debra Zahay (2008). Successful B2B customer database management. The Journal of Business & Industrial Marketing, 23(4), 264-272. Retrieved May 8, 2008, from ABI/INFORM Global database. (Document ID: 1464150941).
elational satisfaction as a function of relational maintenance techniques and relational satisfaction as a function of type and frequency of contact between spouses.
There are two contradictory maxims that complicate the military phenomena: the first is "out of sight out of mind." The second is "absence makes the heart grow fonder." As applied to the military situation with one spouse separated from the other over long periods of intermittent time, the first maxim denotes that connection of one spouse to the other will be weakened, whilst the second maxim indicates that the opposite effect will occur and that their relationship will be strengthened due too the intensity of their longing for one another. Most research studies on military relationships seem to tend to the former indicating that the marital dynamics often seem to be at risk due to the periodically long and consistent separation of one spouse from the other…
Baxter, L.A., & Montgomery, B.M. (1996). Relating: Dialogues and dialectics. New York: Guilford Press.
Breakwell, G.M., Hammond, S., & Fife-Schaw, C. (2007). Research methods in psychology. Sage, USA.
Galloway, J. (1987) Women in Combat Air University Review, Pdf. airpower.maxwell.af.mil
Sahlstein, EM (2004). Relating at a distance: Negotiating being together and being apart in long-distance relationships Journal of Social and Personal Relationships, Vol. 21(5): 689 -- 710
A patchwork of laws provided narrow privacy protections for selected health data and certain keepers of that data." (Administrative Simplification in the Health Care Industry) Therefore, new technologies such as relational databases have simplified the data gathering and maintenance processes of all types of healthcare related data like the physician information process. It is not unheard of today for healthcare and insurance providers matching or 'sinking data' on a monthly or quarterly basis because of the availability of better communication capabilities as well as compatible database comparison processes.
Even the doctors themselves have access to providers' systems and databases today. Through automatic telephone systems, business to business Internet portals, and tape or disk delivery processes, all of a physician's personal, office and patient information can be updated easily. In many cases, the entire process including security and confirmation is a completely hands free operation. In other words, without human intervention,…
Administrative Simplification in the Health Care Industry. Ed. HIPAA. Health and Human Services. 23 Oct. 2004 http://www.hipaa.com/.
HMO Patients Can Contact Their Doctors Electronically as Blue Shield of California Expands Online Communication Services. Ed. Unknown. October 29, 2003. Relay Health. 23 Oct. 2004 http://www.relayhealth.com/rh/general/news/newsRecent/news49.aspx .
Hoffer, Prescott, and McFadden. Modern Database Management. 7th ed. Add City: Add Publisher, Add Year.
Building a Database for Use in Scheduling Process
The scheduling of various activities can at the moment be with the help of computer programs that implement the methodology of the critical-path method (CPM) (Choo et al.,2008). The requirements for building a database for use in scheduling process are numerous. For instance, each scheduler must have a separate database for storing information persistently. The server administrator and the application scheduler have the choice as well as location of database to be used. The performance of a scheduler is largely affected by the performance of the chosen database. If more tasks per second are needed then the scheduler daemons can be run on larger and faster systems.
According to Johnson (2004), the requirements for building a database for use in scheduling process include ensuring the following;
The scheduler database and service must be configured have a high level of availability by…
Blaha, M (2005). Referential Integrity Is Important For Databases. Available online at http://www.odbms.org/ download/007.02%20Blaha%20Referential%20Integrity%20Is%20Important%20For%20Databases%20November%202005.PDF
Choo, HJ and Tommelein, ID (2008). Requirements abd barriers to adoption of last planner computer tools. Available online at http://cic.vtt.fi/lean/singapore/chooandtommeleinfinal.pdf
Johnson, C (2004). IBM WebSphere Developer Technical Journal: WebSphere Enterprise Scheduler planning and administration guide. Available online at http://www.ibm.com/developerworks/websphere/techjournal/0404_johnson/0404_johnson.html
What is emerging is the use of databases as the means for making strategic plans more accomplishable through more efficient and targeted use of data. From the strategic use of SO architectures and platforms to the highly tactical approach to re-defining data models that allow for greater agility and flexibility in managing complex data mining requests, the use of databases is going through a transformational phase as they become critical to the attainment of strategic plans for organizations worldwide.
Scott W. mbler "Test-Driven Development of Relational Databases." IEEE Software 24, no. 3 (May 1, 2007): 37. http://www.proquest.com (ccessed September 18, 2008).
John Erickson, Keng Siau. "Web Services, Service-Oriented Computing, and Service-Oriented rchitecture: Separating Hype from Reality." Journal of Database Management 19, no. 3 (July 1, 2008): 42-54. http://www.proquest.com (ccessed September 18, 2008).
Chin-Feng Lee, S. Wesley Changchien, Wei-Tse Wang, Jau-Ji Shen. " data mining approach to database compression."…
A ttp:/ / www.proquest.com (Accessed September 18, 2008).
Promise of easy customization draws warehouse vendors to SOA." Manufacturing Business Technology, January 1, 2006, 35. http://www.proquest.com (Accessed September 18, 2008).
Chin-Feng Lee, S. Wesley Changchien, Wei-Tse Wang, Jau-Ji Shen. "A data mining approach to database compression." Information Systems Frontiers 8, no. 3 (July 1, 2006): 147-161.
rich society, database management is an ever-expanding and increasingly important field. This paper discusses databases, database management systems (DBMSs), and their importance in today's society. Additional topics include the need for security, concurrency, and control within database management, as well as the role of the database administrator.
A database can be defined as "a structure that can house information about multiple types of entities, the attributes of these entities, and the relationships among the entities" (St. Edward's University). Databases can contain a wide variety of information. For example, a university database may include information about students, courses and classrooms. Further, this university database may contain significant amounts of information about the relationships between these entities, such as student course enrollment, and the use of classrooms for courses (amakrishnan).
A database management system (DBMS) is "a software product through which users interact with a database" (St. Edward's University). These systems allow…
Mattila, Sakari. 1999. Duties of the database administrator. 16 August 2004. http://www.canberra.edu.au/~sam/whp/dba.html
Ramakrishnan, R. And Gehrke, J. 2002. Database Management Systems 3rd ed. McGraw-Hill Science.
RSA Security, Inc. 2002. White Paper: Securing Data at Rest Developing a Database Encryption Strategy. 16 August 2004. http://wp.bitpipe.com/resource/org_1039183786_34/DDES_WP_0702_bpx.pdfor http://itresearch.forbes.com/detail/RES/1063392757_926.html
St. Edward's University. Access III Outline. 16 August 2004. ttp:/ / www.stedwards.edu/it_dept/computer/hardware_software/pdf/access_three.pdf
This research proposal looks to determine how the selection of a given cloud platform impacts user intention, satisfaction and long-term adoption.
In order to evaluate the contributions of each of these platforms, each is briefly reviewed within the context of this literature review. First, the most commonly used one in start-up cloud database service providers, Amazon Web Services (AWS), is analyzed. AWS is comprised of the following components: Amazon DynamoDB and SimpleDB Services, Amazon Elastic Cloud Service (EC2), Amazon Elastic Block Store (EBS), Amazon Simple Storage Service (S3), Amazon elational Database Service (DS) and Amazon SQS. Amazon has also developed a cloud-based content sharing service that capitalizes on the depth of database expertise and support in this platform. Called Amazon CloudFront, this specific Web Service is designed to allow for Amazon ElastiCache configuration and use of a secured Cloud DNS service called oute 53. All of these technologies are combined…
Arias-Cabarcos, P., Almenarez-Mendoza, F., Marin-Lopez, a., Diaz-Sanchez, D., & Sanchez-Guerrero, R. (2012). A metric-based approach to assess risk for "on cloud" federated identity management. Journal of Network and Systems Management, 20(4), 513-533.
Arinze, B., & Anandarajan, M. (2010). Factors that determine the adoption of cloud computing: A global perspective. International Journal of Enterprise Information Systems, 6(4), 55.
Becker, J.U., Greve, G., & Albers, S. (2010). Left behind expectations: HOW to PREVENT CRM IMPLEMENTATIONS FROM FAILING. GfK Marketing Intelligence Review, 2(2), 34-41,64.
Armbrust, M., Fox, a., Griffith, R., Joseph, a.D., Katz, R., Konwinski, a., Zaharia, M. (2010). A view of cloud computing. Association for Computing Machinery.Communications of the ACM, 53(4), 50.
ACID Compliance in Databases
When a databases' data structures support the qualities of atomicity, consistency, isolation and durability (ACID) the database technology and underlying structure is said to be ACID compliant. These attributes are essential for the successful operation of a true relational database. Personal experiences of configuring and using a distributed order management system, where the order state engine must track specific tasks and orders, illustrates just how critical ACID compliance is. Without ACID compliance, the orders would collide with one another in the data structures of the system and it would quickly descend into a computerized, chaotic mess.
Analysis of ACID Components
The attributes of atomicity, consistency, isolation and durability are essential for any enterprise-class software system to scale across thousands of users and be deployed across a wide variety of departments and locations. Atomicity is essential for the distributed order management application mentioned earlier for example. The…
Aasman, J. (2011). Triplestores: A NoSQL option. Database Trends and Applications, 25(1), 20-21.
Database Using Access
Jorge Martinez Guzman
Information and Knowledge Management
Introduction to Databases
elational and Entity elational Databases
Cardinalities and oles in Database Design
Business ules and their eflection in the Entity elationship Diagrams
eviewing the Conceptual Model (Figure Q4.5)
Creating a Database Using Access
Primary Key epresentation
Using Microsoft Access
Computing technology has greatly aided human development and has presented new and more efficient methods to meet various objectives to be accomplished by users and their respective organizations. However, technology is most effective when it is properly aligned organizational outcomes, and thus it is important to understand how it can be implemented into operations in order to acquire maximum benefit out of these tools.
The aim of this research is to provide a detailed overview of the technological advantages and benefits that databases can…
Colonel, C., Morris, S., & Rob, P. (2012). Database Systems: Design, Implementation, and Management (10th edition). Boston, MA: Cengage Learning. P150
Date, C., .J. (2005), Database in Depth: Relational Theory for Practitioners: The Relational Model for Practitioners, Oxford, and O'Reilly Media.
Fleming, C., C. & Halle, B., V. (1989). Handbook of Relational Database Design, New York, Addison-Wesley Professional.
Genero, M., Jimenez, L., & Piattini, M. (2000), Measuring the quality of entity relationship diagrams, Proceedings of the 19th International Conference on Conceptual Modeling, 513-526.
Neo-looked confused. "Programs hacking programs?" To which the Oracle replied, "At some time, a program was written to govern everything. The only time you see a program is when it's malfunctioning, and needs to be replaced, or exiled." Jack, I know you are new in the IT department, but I can't emphasize enough the need for you to take the Oracle's advice. We want our software, CRM modules, and sales processing databases to function without being seen. We don't need any programs fowling up other programs. I don't want to have to fight any 'vampires' or 'ghost twins' because you have allowed the database data dictionary to get corrupted.
The data dictionary is a tool which keeps the other programs up-to-date, and feeds information to the other querying programs as to what to expect from the data they are receiving. The data dictionary is a separate, and important indexing…
Tribunella, T. (2002) Designing Relational Database Systems. The CPA Journal, Vol. 72.
Weber, A. (2000, Oct. 1) 14 No-Fail Steps to Building a Database. Target Marketing;
An architect could also choose a Metamodel, which specify the elements of the model to be stored.
Select Modeling Levels to be Stored within the epository
An Architect should select the modeling levels, which include source code, models, runnable code and model instances to be stored in a Metadata epository, Model epository or a Model.
Select Metadata Types
With reference to the Metadata epository, a Model to be used, an architect could select a model-independent metadata, which include security data, version information, ownership, and affiliations.
Select types of Version Metadata
An option to follow this decision involves selecting necessary metadata types, which include an adequate version granularity. Versioning could be either settle on model element level or on the model.
Select Change Log of Metadata Types
With reference to the decision of selecting version metadata, an architect needs to decide whether to add change log metadata…
Lloyd, C.M., Lawson, J.R., Hunter, P.J.,et al. (2008). The cellml model repository.
Bioinformatics 24(18), 2122 -- 2123 .
Marco, D., & Jennings, M. (2004). Universal Metadata Models Chapter 2. Wiley
Marco, D. (2000). Building and Managing the Metadata Repository: A Full Lifecycle Guide. Wiley.
Implementing an Enterprise Database Management System
Enterprise Database Management Systems (DBMS) are the catalyst and foundation of many of the enterprise software applications, platforms and enterprise systems in place today. Having progressed from being a relational database in the past to often being used as the foundation for complex process workflow and transaction systems (Casati, Castano, Fugini, 2001) the DBMS architecture has taken on a central role in enterprise computing. The intent of this paper is to analyze the DBMS implementation critical success factors in enterprises, in addition to analyzing the advantages and disadvantages of enterprise DBMS systems and platforms.
Analysis of DBMS Implementation in the Enterprise
In many respects the critical success factors of Enterprise esource Planning (EP) systems reflect or mirror those for DBMS systems, as the latter systems are often platforms for EP applications (Lungu, Velicanu, Botha, 2009). When DBMS systems are implemented, it requires…
Fabio Casati, Silvana Castano, MariaGrazia Fugini. (2001). Managing Workflow Authorization Constraints through Active Database Technology. Information Systems Frontiers: Special Issue: Information Systems Frontiers on Workflow, 3(3), 319.
Tim Gouldson. (2001, January). CRM drives need for bigger, better data warehouse. Computing Canada, 27(1), 15.
Lungu, I., Velicanu, M., & Botha, I.. (2009). Database Systems - Present and Future. Informatica Economica, 13(1), 84-99.
Mercioiu, N., & Vladucu, V.. (2010). Improving SQL Server Performance. Informatica Economica, 14(2), 55-60.
In the contemporary business environment, the accounting profession has undergone a fundamental change, and the traditional accounting systems are no longer adequate to satisfy a recent accounting domain. Thus, a call has been made to expand the scope of accounting information systems. In response to the call, the REA data model was launched to support the accounting information systems. The REA data model is identified as the conceptual modeling tool that assists in designing the AIS (accounting information system) database. The REA model is specifically good to develop an invoicing and billing process.
The objective of this project is to use the REA data model to develop the database for the billing and invoicing process.
Entity Relation Diagram
The entity relation diagram is required for the database of the billing and invoicing process. The entity relation diagram is a graphical illustration to portray the database schema. The ER diagrams show…
A relational database systems is one that allows a firm to maintain data and link it in diverse and functional ways (Wambler, 2015). Different data categories will link/relate to others, which is where the name relational database comes from. By linking the tables, code can be written and applied that searches for categories of data connections that tell the firm something about the users or consumers of their product. For example, online users of online stores and sending out signals of data that can be collected and stored in a relational database. This data tells the firm everything from where the consumer is located to what sort of sites he visits (cookies enable this to happen), to what he is looking at in the online store, etc. The firm collects information on the individuals without the individual even knowing it and the firm then pools all of this…
Thakur, S. (2014). Cost leadership or differential. SRT Marketing. Retrieved from http://www.srtmarketing.com.au/insights/cost-leadership-or-differential.html
Wambler, S. (2015). Relational Databases. Retrieved from http://www.agiledata.org/essays/relationalDatabases.html
Database Distribution Strategy
Smart Homes, Inc. required a database distribution strategy for its exciting new home thermostat product. As part of initiatives to develop and establish this database, the firm has created its own Web-based system for registering, evaluation, and controlling a user's thermostat through a mobile computing device. The database design must support a smart thermostat registration system that would support some customer service processes. For instance, when a customer installs and powers on the smart thermostat, the device links to his/her home network and sends distinctive device and environment information to the Smart Home, Inc. system. Moreover, the database must support the collection of smart thermostat data like current temperature, energy usage, humidity, thermostat location, and user-programmed temperature schedule.
Distributed Database Infrastructure
This project is geared toward the development and implementation of a thermostat system that will facilitate many functions provided by Smart Homes, Inc. As part of…
Bhargava, B. (n.d.). Building Distributed Database Systems. Retrieved from Purdue University
Coy, S.P. (1996). Security Implications of the Choice of Distributed Database Management
System Model: Relational vs. Object-Oriented. Retrieved from National Institute of Standards and Technology website: http://csrc.nist.gov/nissc/1996/papers/NISSC96/paper072_073_074/SCO_.PDF
Cloud computing applications often need to have a 99.999% uptime as customers use them directly over the Internet, and there is little chance of solving problems from a remote location (McAfee, 2011). As a result, databases used in cloud computing must have a very high level of reliability and be capable of managing small errors that would cause other databases to stop working or need to be rebooted. The requirement from cloud computing users for databases to be able to manage these higher levels of reliability is leading to a completely different level of research and development today (Limbasan, Rusu, 2011). Taking into account all of these factors it is clear that cloud computing is having a very disruptive effect on database research, development and use today. Cloud computing is forcing many enterprise software vendors who create databases to focus more on how their applications can be used as more…
Malcolm Chisholm. (2009). The Dawn of Big Data: Are we on the cusp of a new paradigm that goes beyond what we can do with traditional data stores?. Information Management, 19(8), 45.
Limbasan, A., & Rusu, L.. (2011). Implementing SaaS Solution for CRM. Informatica Economica, 15(2), 175-183.
Andrew McAfee. (2011, November). What Every CEO Needs to Know About the Cloud. Harvard Business Review, 89(11), 124-132.
Upson, S.. (2011). Cloud Computing. IEEE Spectrum, 48(1), 43.
NoSQL Databases Live Up TO Their Promise? (Leavitt, 2010) the author presents a fair and balanced analysis of the NoSQL database technologies and supporting Big Data platforms including Cassandra and HBase (the precursor of Hadoop) with accuracy and clarity. The author also points out that despite the cost advantages of NoSQL and its inherent strengths in managing massive amount of unstructured content, its limitations from an enterprise computing perspective including overhead and complexity, consistency including support for atomicity of data and support for the industry-wide ACID framework are lacking (Leavitt, 2010).
The comparison of SQL vs. NoSQL database technologies is well-done in the article, pointing out how NoSQL excels at managing object-, image and textually-based data while the former excels at structured data and the speed of transactions. The article does not mention however how the complexities of managing batch-oriented processes of very large data sets vary between the two…
Ghosh, D. (2010). Multiparadigm data storage for enterprise applications. IEEE Software, 27(5), 57-60.
Leavitt, N. (2010, February ). Will NoSQL databases live up to their promise?. COMPUTER Journal by IEEE Society, 12-14. Retrieved from http://www.leavcom.com/pdf/NoSQL.pdf
Meijer, E., & Bierman, G. (2011). A co-relational model of data for large shared data banks. Association for Computing Machinery.Communications of the ACM, 54(4), 49.
Rys, M. (2011). Scalable SQL. Association for Computing Machinery.Communications of the ACM, 54(6), 48.
Business equirements Document
Miller Inc. looks forward to creating a data repository for all data collected that is beyond the current relational database it currently uses. The company has currently outgrown the relational database in Oracle that it currently uses. Though it enables data to be stored in different tables that can be linked together using record keys, the amount of keys and records makes it difficult to operate a standard relational database. The company thus needs to adapt database modeling in designing their data warehouse. This is the project. Data modeling extends the online transaction processing models that are common in relational database into data warehousing. The project goal is to develop an appropriate database schema to be designed alongside other components such as identifying metadata. The IT role is to model the data warehouse, implement and test it.
Scope of the project
The scope of the project…
Hughes, R. (2008). Agile Data Warehousing: Delivering World-Class Business Intelligence Systems Using Scrum and Xp. Chicago: iUniverse.com.
Humphries, M., Hawkins, M.W., & Dy, M.C. (1999). Data warehousing: architecture and implementation. Englewood Cliffs: Prentice Hall.
egardless of numerous efforts to define data, knowledge, and information, there are still some uncertainties and lack of clarity regarding what these three things are and the relationships that exist between them. While many descriptions of the three are relevant, most of these definitions are far from providing the clear picture of what the three really are. However, there are considerable differences between data, knowledge, and information though they have some relationships between them. The main relationship is that data is described in relation to information, information defined on the basis of data and knowledge, and knowledge explained in terms of information.
The differences between data, knowledge, and information can be explained in terms of their basic definitions, purposes, and how each is formed. Under definitions, data can be described as basic, unprocessed, and unfiltered information whereas information is described as more developed data that has evolved to a…
Benner, T. (n.d.). Why Use A Database? Retrieved February 29, 2012, from http://www.masteradobe.com/MasterAdobe_MACinTUTOR/Why_Database.html
"Lesson 5: Types of Database Management Systems." (n.d.). Topic: Database Fundamentals.
Retrieved from The Pennsylvania State University website: http://www.personal.psu.edu/glh10/ist110/topic/topic07/topic07_06.html
Liew, A. (2007, June). Understanding Data, Information, Knowledge And Their Inter-
The authors have expertise with Oracle databases and use examples from the enterprise products this software vendor provides to make their point regarding security of highly distributed networks. One of the more valuable aspects of this specific paper is the focus on how to create a multilevel secure environment in an enterprise. The authors have done enterprise-level database security work in their careers and this article and research communicate their expertise clearly.
In the article Data Security: A Security Implementation for elational Database Management Systems (Nilakanta, 1989) the author contends that information architectures must rely on a stable database management system (DBMS) to scale securely and reliably across an enterprise. The author provides insights into several different security procedures and approaches to defining a secured operating environment for enterprise-wide DBMS implementations and use. There are also guidelines for defining security clearances and recommendations on hwo best to use encryptions for…
Feeney, T.R. (1986). Security issues and features of database management systems. Information Age, 8(3), 155-155.
Fulkerson, C.L., Gonsoulin, M.A., & Walz, D.B. (2002). Database security. Strategic Finance, 84(6), 48-53.
Harris, D., & Sidwell, D. (1994). Distributed database security. Computers & Security, 13(7), 547-547.
Nilakanta, S. (1989). Data security: A security implementation for relational database management systems. Computers & Industrial Engineering, 17(1-4), 415-415.
Uses of visualization in business analytics include market segmentation analysis and factor analysis to define new audience segments based on psychographics. Visualization is often also used for pricing analysis to determine how elasticity can vary by product and area being sold into.
6. What are the steps involved in effective decision making and how can business intelligence assist in helping executive and managers make better strategic and operational decisions?
Effective decision making inherently must take into account many factors that range from the highly quantifiable to the qualitative if risk is to be minimized and the best possible alternative chosen. BI-based applications, tools and technologies have been designed specifically with these needs in mind of business decision makers. The steps involved in effective decision making include problem rationalization or the defining of the problem parameters, the definition of boundary conditions of the decision, selection of the alternative, execution of the…
Baker, R. (2009). Pricing on Purpose: How to Implement Value Pricing in Your Firm. Journal of Accountancy, 207(6), 62-67,12
Jordan, J., & Ellen, C. (2009). Business need, data and business intelligence. Journal of Digital Asset Management, 5(1), 10-20.
Liker, J (2003). The Toyota Way. New York, NY: McGraw-Hill .
Soumendra Mohanty. (2008). Measuring the Value of Intelligence in Business Intelligence. DM Review, 18(12), 20.
SQL and ig Data
Gaining greater insights into terabytes of unstructured and structured data organizations have been collecting in many cases for decades across diverse computing and storage platforms are increasingly being unified through advanced data and system architectures. ig Data is the term used to define very large, diverse data sets that contain both structured and unstructured data that defy analysis using conventional database management and analytics applications (International Journal of Micrographics & Optical Technology, 2010). ig Data is an area generating much interest in enterprises as this collection of data analysis, aggregation and extraction techniques continue to deliver valuable insights into how companies can become more competitive (Datskovsky, 2013). Structured Query Language (SQL) is a widely accepted approach to querying databases, aggregating and analyzing data and creating useful reports that guide decision making in organizations (Rys, 2011). Enterprise software companies are creating ig Data analytics applications that include…
Baker, B. 2013, "Enterprise Analytics: Optimize Performance, Process and Decisions Through Big Data," Quality Progress, vol. 46, no. 6, pp. 68.
Datskovsky, Galina, PhD., C.R.M. 2013, "Harnessing Big Data for Competitive Advantage," Information Management, vol. 47, no. 1, pp. 1.
Ferguson, R.B. 2013, "The Big Deal About a Big Data Culture (and Innovation)," MIT Sloan Management Review, vol. 54, no. 2, pp. 1-5.
Ferguson, R.B. 2012, "The Storage and Transfer Challenges of Big Data," MIT Sloan Management Review, vol. 53, no. 4, pp. 1-4.
DBMS and Data Warehouses
(1) in this writing assignment, you will create a brochure advertising your services as a data repository.
Powered By Excellence
Data epository Service
Powered By Excellence is the only data repository service with globally-located data centers across each continent, each with specific security, reliability and fault redundancy systems in place.
Our staff includes world-class experts on the following platforms: IBM, Microsoft, Oracle, MySQL, Informix, Sybase, Teradata and SAS expertise in-house as part of our consulting services division.
Analytics Advisory Services
Big Data Consultancy - Map and Hadoop expertise for gaining insights from very large datasets)
Custom Software Development
SaaS Application Support
Scalable File Storage
Private Cloud Hosting (Dedicated storage and unlimited virtual machines)
High performance with a world-class platform
24/7 Administrator Access
Unlimited Virtual Machine Use
Service Level Agreement (SLA) metrics available 24/7
Trusted Provider of Data epository Services:
(Benander, Benander, Fadlalla, Gregory, 2000)
Benander, A., Benander, B., Fadlalla, A., & Gregory, J. (2000). Data warehouse administration and management. Information Systems Management, 17(1), 71-80.
Choudhary, A.K., Harding, J.A., & Tiwari, M.K. (2009). Data mining in manufacturing: A review based on the kind of knowledge. Journal of Intelligent Manufacturing, 20(5), 501-521.
He, Z., Lee, B.S., & Snapp, R. (2005). Self-tuning cost modeling of user-defined functions in an object-relational DBMS. ACM Transactions on Database Systems, 30(3), 812-812.
NET, PHP, Crystal Reports, and more.
In order to support the end-user database application, the user must maintain files like Adobe, Acrobat (pdf), PostScript, and FrameMaker to rapidly setup, test, modify, run, save and print database. Microsoft Excel files are also needed to enable information distribution in spreadsheet form and mark-up files (e.g., HTML, XML, etc.). There is no need to learn a programming language or meta-language and the setup can be accomplished by using a graphical user interface (GUI).
The most popular way to design a database is through Relational DMS, which provides a collection of operations to manipulate relations, where data is presented as a collection of relations. A table depicts each relation, attributes as Columns, and Rows ("tuples") represent entities. Among the main features and functions of the software include: Supports various configurations (single-user, networked multi-user, and client-server); Ease of installation and distribution; Transaction processing; High speed…
F. Stamatelopoulos, N. And Roussopoulos, B. Maglaris. (1995). "Using a DBMS for Hierarchical Network Management"
SourceForge.net. "LEAP: Frequently Asked Questions" taken on November 10, 2006 from http://leap.sourceforge.net/faq.html
Stanczyk, Stefan, Bob Champion and Richard Leyton. 2nd Edition. "Theory and Practice of Relational Databases."
"Sometimes abbreviated as WP, a word processor is a software program capable of creating, storing, and printing documents. Unlike the standard typewriter, users using word processors have the ability of creating a document and making any changes anywhere in the document. This document can also be saved for modification at a later time or to be opened on any other computer using the same word processor. (Computer Hope, 2011)" Microsoft's Word is a word processor and there are other ones as well such as Apple iWork, Corel WordPerfect, and Sun StarOffice. Amongst the various office automated systems, the word processor is one of the most used thereto.
This type of database is one of the first of its kind and is still present in older or legacy systems. "Each cell in a table may have a table underneath it, which is similar to the…
Best Priced Computers UK. (2009). Decision support systems. Retrieved July 31, 2011 from http://www.bestpricecomputers.co.uk/glossary/decision-support-systems.htm
Computer Hope. (2011). Word processor. Retrieved July 31, 2011 from http://www.computerhope.com/jargon/w/wordssor.htm
Hernandez, G. (2011, August 8). DB types. Retrieved July 31, 2011 from http://www.georgehernandez.com/h/xComputers/Databases/aaIntro/DBTypes.asp
Introduction to HIS. (2007). Retrieved July 31, 2011 from http://faculty.yu.edu.jo
business in which it operates. In addition to it also analyzes the current outsourcing and offshoring activities of the organization. Apart from that, it puts light on the skills of the IT professionals of the organization and its current information system. This paper also proposes ways for the enhancement of the technological structures of the organization so that it may manage its growth efficiently.
Background Information about the Company
The company, under consideration, is a data collection and analysis company. It has been operating since last two years and it has a value of 25 million dollars. On the basis of the current performance, it is expected that the company would grow by 60% during the next 18 months. In order to accommodate with the current growth rate of the organization, the CEO wants various changes in the physical and technological infrastructure of the organization. The top management…
2020 Company, LLC (2014). Data collection and analysis. Retrieved from: http://www.2020llc.com/2011/services/data-collection-and-analysis.html [Accessed: 15 Jan 2014].
Anderson, R. (2001). Security engineering. New York: Wiley.
Bittner, P. & Hornecker, E. (2002). Responsibility and the work of it-professionals. IFIP -- the international federation for information processing, 98 pp. 171-181. Retrieved from: http://www.ehornecker.de/Papers/hcc6-ehpb_publ.pdf [Accessed: 15 Jan 2014].
Datamark (2014). Near-site processing services | near-site document processing. Retrieved from: http://www.datamark.net/solutions/offsite-onsite-solutions/near-site-outsourcing-solutions [Accessed: 15 Jan 2014].
0 with Service Pack 4 or greater
Processor - Pentium or AMD Athlon 233 MHz processor or greater
Free Hard disk space - 200 MB free after installation of the operating system and Oracle Client Software
AM - 64MB
Bradmark Technologies is a company that offers database management software used with products from providers including Oracle, Sybase and Microsoft. Customers in a variety of industries use Bradmark's products for tasks such as database monitoring, performance tuning and database administration.
DB2 is a relational database management system. It is designed to make the storage and analysis of data easier. it'd fully Web-enabled, scalable from single processors to symmetric multiprocessors and to massively parallel clusters and features multimedia capabilities with image, audio, video, text, spatial and other advanced object.
Operating System - Microsoft Windows 2000 SP4, Windows XP SP1, Windows 2003 Server
AM - 128MB or More
Diploma in Database - Administration [RDBMS]. (n.d). Retrieved July 16, 2005, from Compufield Web site: http://www.compufield.com/rdbms.html
IBM's DB2. (1999). Retrieved July 15, 2005, from silk.nih.gov Web site: http://silk.nih.gov/dbtekpub/disphtm/db2intro
Each of the databases exports a view of its tables or objects that conforms to the shared data model, so that queries can be expressed using a common set of names for properties and relationships regardless of the database. The queries are then translated so that they are actually run against the local data using local names in the local query language; in the reverse direction results may be scaled, if needed, to take account of a change of measurement units or character codes (Applehans, et al. 2004). The technological test of these systems is to create programs with the intelligence necessary to divide queries into sub-queries to be interpreted and sent to local databases, and after that to merge all the results that come back. Great progress has been made in methods for setting up efficient dispersed query execution and the constituent that does this is frequently called an…
Angoss Software. (2006) KnowledgeSEEKER in Action: Case Studies. Toronto: Angoss Software International Limited.
Applehans, W., a. Globe, and G. Laugero. (2004) Managing Knowledge: A Practical Web-Based Approach. Reading, MA: Addison-Wesley.
Aubrey, a., and P.M. Cohen. (1996) Working Wisdom: Timeless Skills and Vanguard Strategies for Learning Organizations. San Francisco: Jossey-Bass.
Gray, J. Helland, P. O'Neil, P. And D. Shasha, (2005) the dangers of replication and a solution, Proc. ACM SIGMOD Conference, pages 173-182.
If the existing process of Access and Excel are not meeting our database then the implied convenience is still representing a higher cost in terms of purchase price, implementation and maintenance. With the recent advances in FoxPro's basic package, we should consider the additional power available from Visual FoxPro.
Excel & Access Combination
Access and Excel offer features like: data filtering, sorting and grouping, dynamically generates SQL code, saves ad-hoc database reporting queries, stores temporary ad-hoc database reporting tables and much more.
The combination of Excel and Access is certainly at the low end of the database market in terms of how robust the database is with speed and performance. However, the bigger advantage of Microsoft Access and Excel having the ability to integrate data with the other Microsoft Office products and the strong end user tools that are easy to use give line management an ability to create their…
Data Warehousing: A Strategic Weapon of an Organization.
Within Chapter One, an introduction to the study will be provided. Initially, the overall aims of the research proposal will be discussed. This will be followed by a presentation of the overall objectives of the study will be delineated. After this, the significance of the research will be discussed, including a justification and rationale for the investigation.
The aims of the study are to further establish the degree to which data warehousing has been used by organizations in achieving greater competitive advantage within the industries and markets in which they operate. In a recent report in the Harvard Business eview (2003), it was suggested that companies faced with the harsh realities of the current economy want to have a better sense of how they are performing. With growing volumes of data available and increased efforts to transform that data into meaningful knowledge…
Agosta, L. (2003). Ask the Expert. Harvard Business Review, 81(6), 1.
Database: Business Source Premier.
Babcock, Charles (1995). Slice, dice & deliver. Computerworld, 29, 46, 129 -132.
Beitler, S.S., & Lean, R. (1997). Sears' EPIC Transformation: Converting from Mainframe Legacy Systems to Online Analytical Processing (OLAP). Journal of Data Warehousing (2:2), 5-16.
When it comes to strategic information management, there are many options that a company has. Data mining, data warehousing, and the various OLAP options are only some of the tools that can be used, but they are three of the most important - if they are used correctly. Because there are several options with OLAP it is very versatile and most companies can find a way to make it work for them so that they can quickly get the answers that they are looking for and help to keep their company moving forward. The other two business intelligence tools, data mining and data warehousing, are also very important, but like any of the other tools there are contributions that they offer and drawbacks that they have. The key to using them all effectively is getting a good understanding of what they can bring to an organization and what they…
Particularly with the relatively recent passage and renewal of the nation's 2002 Homeland Security Act, individual Americans are becoming more and more concerned that their retrieval and use of information is being tracked, not simply through the paper libraries of the nation, but also via the orld ide eb. However, although there is a concern that one can leave one's information imprint and compromise one's privacy when tracking relevant data -- for instance, a student researching hate groups could be unfairly targeted as a potential sympathizer with such organizations, if he or she leaves a 'track' on his or her high school's hard drive -- one cannot ensure that no data fingerprints are left upon personal or public hard drives or search engines themselves when users access data via large-scale data warehouses.
Until the last few years, data warehousing traditionally focused on relational technology, namely the storing large amounts of…
Kaufman, Perlman & Speciner. (2002). Network Security: Private Communication in a Public World, Second edition. Upper Saddle River, NJ: Prentice Hall.
Large-Scale Data Warehousing Using Hyperion Essbase OLAP Technology." January 2000. Hyperion. Retrieved on July 11, 2004 at http://dev.hyperion.com/resource_library/white_papers/data_warehousing_teraplex_ibm_0.cfm
Prioritization of IT Functions
Prioritization of the IT Project Portfolio for a University's Information Systems
Advances in information technology continue to change the way businesses and institutions perform their planning and administration operations. Information technology has improved the efficiency of repetitive tasks such as payroll processing, accounting transactions, and financial reporting. However, in order to achieve the best mix of IT functions in any given setting, it is vital to understand who the customers are going to be for the system, and what priority must be assigned to the respective functions including email, databases, Web servers, and so forth. To this end, this paper provides a prioritization of a university's information technology functions, including goals, a support plan for both office and customer functions, proposed communication methods, personnel and training requirements, application and function priorities, and a strategy for prioritizing the IT projects.
Identification and Prioritization of Information Technology Functions.…
Dearstyne, B.W. (April 1, 2001). The view from the fast lane. Information Management Journal, 11(3), 121.
Kollock, P. (1998). Social dilemmas: The anatomy of cooperation. Annual Review of Sociology, 24:183-214.
Luftman, J.N., Lewis, P.R., & Oldach, S.H. (1993). Transforming the enterprise: The alignment of business and information technology strategies. IBM Systems Journal, 32, 1, 198-221.
Mansell, R. & When, U. (1998). Knowledge societies: Information technology for sustainable development. Oxford: University of Oxford.
Internet Inter-OR Protocol (IIOP)
Java Network Computing Technologies
Internet Inter-OR Protocol (IIOP) is a protocol that enables distributed programs located anywhere in the Internet to communicate with each other. It is an interoperability protocol that supports heterogeneous environments. IIOP offers possible communication between applications regardless of the platform and programming elements used in their development.
IIOP is an element of Object Management Group's (OMG) standard architecture called CORA (Common Object Request roker Architecture). It is a TCP/IP-based protocol and a GIOP mapping that provides standard communication methods between ORs. OR (Object Request roker) is a communication mediator used by CORA during requests and data interchange between clients and servers.
CORA/IIOP is a solution to the complexity that web applications are now becoming. efore, protocols are specifically developed on the basis of applications to allow compatibility in communication. ut with CORA/IIOP, communication is possible between diverse application platforms.
IIOP technology is…
Curtis, David. IIOP: OMG's Internet Inter-ORB Protocol.
OMG. 08 June 2003. http://www.omg.org/library/iiop4.html
Golding, Michael. Java Socket Programming.
UEL.AC.UK. 09 June 2003. http://homepages.uel.ac.uk/2795l/pages/javaapps.htm
Systems Consideration in HIS
One of the best database systems for SMEs (small and medium sized enterprises) and individuals who want to gather, manage, and disseminate information in a professional manner, is the Microsoft Access. And just as many other applications and software programs in the market, this database program tool has its own advantages and disadvantages. The Microsoft Access is known by many for being one of the top database programs for data managers globally, who would want to report their project data using advanced features and relational databases. Since this program doesn't require the operator to have any complicated or difficult-to-learn computer programming skills, even regular individuals can use it to come up with powerful and highly advanced databases. The advantages of using Microsoft Access database system are:
It is not difficult to install and operate. Microsoft Access database program can, in just a few minutes,…
Learnit. (2013, November 18). Know The Advantages And Disadvantages Of Microsoft Access. Retrieved October 21, 2015, from http://learnitanytime.com/4031/know-the-advantages-and-disadvantages-of-microsoft-access-2/
EdgeWave (n.d).The Top Six Risks of Employee Internet Use and How to Stop Them: An Essential Guide for HR and Compliance Managers. Retrieved 25 October 2015 from http://www.edgewave.com/wp-content/uploads/2014/06/EdgeWave_Top6.pdfLin , J., & Dyer, C. (2010).Data-intensive text processing with Map Reduce. San Rafael: Morgan & Claypool.
Sylos, M. (2013, September 18). Top five advantages of software as a service (SaaS) - Thoughts on Cloud. Retrieved October 21, 2015, from http://www.thoughtsoncloud.com/2013/09/top-five-advantages-of-software-as-a-service-saas/
Bartz, R. J. (2015). Mobile computing deployment and management: Real world skills for CompTIA Mobility+ certification and beyond.
networks "enterprise glue": information mobilization the core case module involves careful assessment sources strategic enterprise information. But ' ready tackle, speed underlying issues dynamics.
Information networks as "enterprise glue": information mobilization
To what degree should organizations depend on the analysis of large data and other IT resources to formulate basic strategy?
The business agents of the modern day society are faced with countless challenges from both within and outside their environments. For instance, competition intensifies, the customers become more demanding, the stakeholders pose more pressures and the employees play an increasingly important role. In such a setting, firms across the globe strive to develop and implement novel strategies that help them create competitive advantages.
A powerful example in this sense is represented by the integration of technology within the business decision making process. Companies as such purchase and utilize technologic applications at a wide array of company levels, such as…
Dumbill, E., 2012, What is big data? Strata O'Reilly, http://strata.oreilly.com/2012/01/what-is-big-data.html last accessed on September 12, 2012
Hayles, R.A., 2007, Planning and executing IT strategy, IT Professional, Vol. 9, No. 5
LaValle, S., Lesser, E., Shockley, R., Hopkins, M.S., Kruschwitz, N., 2010, Big data, analytics and the path from insights to value, MIT Sloan Management Review, http://sloanreview.mit.edu/the-magazine/2011-winter/52205/big-data-analytics-and-the-path-from-insights-to-value / last accessed on September 12, 2012
Manyika, J., Chui, M., Brown, B., Burghin, J., Dobbs, R., Roxburgh, C., Byers, A.H., 2011, Big bata: the next frontier for innovation, competition and productivity, The McKinsey Global Institute, http://www.mckinsey.com/insights/mgi/research/technology_and_innovation/big_data_the_next_frontier_for_innovation last accessed on September 12, 2012
Economics in the IT Industry -- Additional Four Pages for Your Essay
Making Information Technologies a Competitive Strength
The pace and depth of innovation continues to accelerate in all sectors of IT. Across all sectors, enterprise and organizations that choose to automate their core business processes using IT systems and platforms are gaining the greatest impact of all however. Manufacturing and services companies are adopting Enterprise esource Planning (EP) systems to streamline their supply chain, sourcing, procurement, production and service strategies (Sternad, Gradisar, Bobek, 1511). EP systems are proving to be extremely valuable for these organizations as they strive to create a more unified series of business strategies across all their divisions. IT has emerged as an agile platform to support business' growth over the long-term as a result.
IT investments are also now entirely tied to business objectives and strategies as well. This has made IT critical form any…
Benlian, A., and T. Hess. "Opportunities and risks of software-as-a-service: Findings from a survey of IT executives. " Decision Support Systems 52.1 (2011): 232.
Fern Halper. "THE TOP 5 TRENDS IN REDICTIVE AN ALYTICS: Maturing user adoption brings vision, viability, validity and value. " Information Management 21.6 (2011): 17.
Han, Y.. "Cloud Computing: Case Studies and Total Costs of Ownership. " Information Technology and Libraries 30.4 (2011): 198-206.
Tobias Klatt, Marten Schlaefke, and Klaus Moeller. "Integrating business analytics into strategic planning for better performance. " The Journal of Business Strategy 32.6 (2011): 30.
relationships and distinctions between the information systems concepts of data warehousing and data mining, which combined with online analytical processing (OLAP) form the backbone of decision support capability in the database industry. Decision support applications impose different demands for OLAP database technology than the online transaction processing (OLTP) model that preceded it. Data mining with OLAP differs from OLTP queries in the use of multidimensional data models, different data query and analysis tools at both the user-facing front end and the database back end, and different mechanisms for data extraction and preparation before loading into a data warehouse can take place. The construction of data warehouses entails the operations of data cleaning and data integration, which are key pre-processing steps for enabling data mining. Furthermore, the concept of metadata (data about data) is essential to the functioning of a data warehouse, and must be managed appropriately for an effective and…
Berson, A., & Smith, S.J. (1997). Data Warehousing, Data Mining, and Olap (1st ed.). McGraw-Hill. Retrieved from http://dl.acm.org/citation.cfm?id=549950
Chaudhuri, S., & Dayal, Umeshwar. (1997). An overview of data warehousing and OLAP technology. ACM Digital Library, 26(1). doi:10.1145/248603.248616
Douq, Q. (2009, November 24). Comparison of Oracle to IBM DB2 UDB and NCR Teradata for Data Warehousing. X-Space. Retrieved November 14, 2011, from http://space.itpub.net/673608/viewspace-620367
Gartner Newsroom. (2008). Gartner Reveals Five Business Intelligence Predictions for 2009 and Beyond. Retrieved November 14, 2011, from http://www.gartner.com/it/page.jsp?id=856714
Crime in Literature
Capitalizing on Elastic Computing
Aside from its potential to integrate and aggregate a host of resources and technologies, Cloud Computing can most prominently benefit the enterprise through the enabling of Elastic Computing.
Elastic Computing is the utilization of the Cloud's nearly limitless scalability to provision resources on demand and at scale without conventional architectural concerns associated with doing so on-premise such as:
Scaling Up and Down -- In physical environments, substantially adding or subtracting resources requires reconfiguring one's architecture to do so -- which is time consuming. Moreover, it is possible that after reconfiguring architecture to scale up, scaling back down again can require even more time than the former process, if doing so is even possible.
Storage -- Storage in on-premise environments is significantly more costly than Cloud-based storage, and was the principle reason that the philosophy of minimizing data within a physical warehouse was derived…
Resources -- The degree of specificity for changing and manipulating the various resources to power the database enables users to dedicate particular amounts to computing and storage, which allows them to issue queries while loading the database.
Automation -- Snowflake Elastic Data Warehouse can automate various aspects of data warehouse management (copying data, tuning performances, or spreading data across the system) and assist end users in these processes as they go, instead of involving database administrators or other IT personnel.
The initial explosion of Big Data largely involved Hadoop as a means of accessing semi-structured and unstructured data, and came to result in organizations attempting to utilize it as an integration hub for their proprietary, on premise data and those that were otherwise. When compared with Hadoop, Snowflake Elastic Data Warehouse is a native relational environment as opposed to the former. This fact accounts for an expedience and ease of integration, in addition to querying and optimization that requires less effort and resources than the latter does. These same factors limit Hadoop's efficacy with transactional data, although Hadoop is open source and is much more cost-effective than a traditional database. Still, it is not a data warehouse.
Generally, the classification of model transformation tools is based on whether it is declarative or operational, directionality or multiplicity.
The study further discusses the sub-categories of model transformation that include:
hybrid transformation tools, graph transformation, relational, template based, operational based, structure driven and direct manipulation.
All the sub-categories of model transformation have the following features:
Hybrid transformation combines two or more transformation approaches;
Graph transformation focuses on graph rewriting over variation and extensions of labeled graphs.
Relational approach uses declarative approach-based mathematical relations; template approach uses model template specifications.
ATL Transformation Tool
The project reveals that ATL is one of the effective transformation tools used to semantic or syntactic translation and it is built on transformation Virtual Machine model. The ATL was developed from the ATLAS framework, which enabled the specification of one or more target models. The project further reveals that ATL is hybrid language providing the mix of…
Braun, P. & Marschall, F. BOTL The Bidirectional Object Oriented Transformation
Language. Institut fur Informatik Technische Universitat Munchen. 2003.
Cremers, A.B. Alda, S. & Rho, T. Chapter 13, Mapping Models to Code Object-Oriented Software .Construction. University of Bonn. German. 2009.
Einarsson, H.P. Refactoring UML Diagram and Models with Model-to-Model Transformation . Master of Science in Software Engineering, University of Iceland. 2011.
Miller Inc. is a company that wishes to develop a new and more efficicent data repository for all data collected, stored, and transferred. Their desire to create a data warehouse that operates quickly with less effort is the purpose of this project. Adaptation of database modeling along with designing their data warehouse will lead to higher consumer and employee satisfaction. The project goal is to create a database schema to work as well be designed alongside other components such as identifying metadata in order to let IT model the data warehouse, implement and test it.
to identify and gather database requirements, design the dimensional model, develop the system architecture, design the relational database and online transactional processing model, develop the data maintenance application, develop analysis applications to test and deploy the system through a series of steps intended to reduce error rate. The types of applications for use will be…
Mission and Business Objective
Products and Services
Keys to Success
Economic Value Added
Cash Value Added
Cash Flow eturn on Investment
This report is a detailed marketing plan for a new financial service company called Online Analyst, Inc. The company is a combination database management company that also specializes in the financial services markets. The company will offer a plethora of information, data and financial-based market services such as online real time market segment analysis, brokerage services and information 'black box' management for the data industries clients. This plan therefore serves as an evaluation and summary of the organization's marketing and business processing options. Online Analyst, Inc. will utilize this foundation document to design, implement and integrate the company's new series of business products and services into a viable consumer and sales blueprint.
On-Line Analyst, Inc. is an organization that takes advantage of existing market analysis…
Altschuler, Stuart, et al. (2002). "Pricing Analysis for Merrill Lynch Integrated Choice." Interfaces: January -- February, Vol. 32, No. 1: 5-19.
Carliner, Saul. (1999). Writing Business Objectives: A Key Tool for Demonstrating the Value of Technical Communication Products. The Commerce of Content. Retrieved on April 22, 2005, from Saul Carliner Web Site at: http://saulcarliner.home.att.net/idbusiness/casestudy.htm
Durgee, Jeffrey F., Gina Colarelli O'Connor, and Robert W. Veryzer. (1996). "Translating values into product wants." Journal of Advertising Research Vol. 36.
Gill, Philip J. (1999). "Business Snapshot -- Business Modeling Tools Help Companies Align Their Business And Technology Goals." Information Week. April 19.
obert to accomplish his job successfully, he has to center himself on three questions:
What type of measures should be included in the physician practice balanced scorecard?
What are the benefits of using a balanced scorecard?
Awareness of the some of the barriers to providing individual level performance data.
What type of measures should be included in the physician practice balanced scorecard?
The three areas of the scorecard are: financial performance, clinical performance, and operating performance. Each should contain succinct and thorough description of performance in each area, and selected indicators should show practice manager's monthly, quarterly, and annual reports.
Measures should reflect present year's performance to past year's level of performance; performance of present month as comparison to the same month a year ago; comparison of scores to scores of a similar organization and practice; and comparison of scores to published scores of a similar practice and organization.
Bostrup, T. (n.d.). Introduction to Relational Databases - Part 1: Theoretical Foundation. 15 seconds. Retrieved on 6/16/2011from: http://www.15seconds.com/issue/020522.htm
Davidson, L. (2007). Ten Common Database Design Mistakes. Simple Talk. Retrieved on 6/16/2011from: http://www.simple-talk.com/sql/database-administration/ten-common-database-design-mistakes/