Sign Up Now
Get instant access to over 1 million+ study documents
OR
Already registered? click here to login
By creating your account, you agree to our terms of service, privacy policy and student honor code.
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...
The concept of atomicity states that if one segment or element of a given transaction fails, the entire transaction itself stops yet does not impact the overall performance of the entire databases (Aasman, 2011). This is especially critical for the development of enterprise-wide applications that often define resources and data by specific workflows and roles. For any broad, enterprise-wide content management, e-commerce or database-driven application to be effective atomicity must be very robust and capable of recovery quickly from errors.
The second attribute of consistency is also essential for the distributed order management system example given earlier. The consistency aspects of the ACID model define that each transaction will lead to a consistent state or status of system performance (Aasman, 2011). In the distributed order management system, the critical need is…
References
Aasman, J. (2011). Triplestores: A NoSQL option. Database Trends and Applications, 25(1), 20-21.
These factors further accelerate the value and TCO of databases over time. Describe the features, tools, and utilities of Structured Query Language (SQL). How can tasks be automated with SQL? SQL has specifically been designed with features, tools and utilities to enable programmers to support nth-tier data architectures in addition to legacy client-server computing scenarios. The development and continual improvement of the features, tools and utilities of SQL for automating tasks
Design criteria exist at the levels of the technical, system integration aspects of the database to other systems through XML. This integration is critically important to ensure that the applications created can be effectively used over time and not have any scalability issues. There is also the need for designing the databases at the presentation layer to provide for scalability and flexibility of being able to create applications relatively quickly
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 (Roth, 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
Database Software 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
Databases Analysis and Overview of Database Systems 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
This is one of the greatest limitations of this technology. A second major disadvantage of RDBMS-based systems is their lack of support for image- and spatial-based databases that include Computer-Aided Design (CAD) drawings, 3D rendering and model-based data. Their table-based structure is inefficient in defining the attributes of these data types and lacks the necessary data tagging and data types to manage imaging and CAD-based design files and data