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 Repository 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.

Services Offered

Analytics Advisory Services

Big Data Consultancy - MapR and Hadoop expertise for gaining insights from very large datasets)

Custom Software Development

Database Hosting

SaaS Application Support

Scalable File Storage

Private Cloud Hosting (Dedicated storage and unlimited virtual machines)

Customer Benefits

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 Repository Services:

ISO 16363 and DIN 31644 Certified (2013)

Your Data Is Critical to Your Growth!

Three reasons why your business needs to collect and analyze data:

1. Gain valuable customer intelligence & insight to design better sales & service campaigns, driving up Lifetime Customer Value.

2. Gain insights into managing suppliers and entire supply chains better.

3. Know which distributors and dealers are the highest and lowest performing, and why.

4. Understand how gross margins and profitability change and why across an entire product lifecycle.

Describe the features of a data mart. Differentiate between unsupervised and supervised data mining.
The functions of a data warehouse include integrating the diverse and often disparate legacy database and transactional systems of an enterprise into a single, unified system of record (Benander, Benander, Fadlalla, Gregory, 2000). Data warehouses are also require an intensive amount of integration platform support. Of the many integration technologies now being adopted to unify data warehouses, XML is increasingly being adopted as a standard (Van, 2002). Data warehouses are often designed to support multiple ontologies of data structures essential for the running of a business as well, which forces a logical file and data structure throughout the entire entity (Selma, Ilyes, Ladjel, Eric, Stephane, Michael, 2012). A second function of a data warehouse is to segment out the data that is used more frequently for queries from the actual data warehouse which is used for reporting and analysis. This second aspect of a data warehouse ensures higher levels of performance on more frequent queries.

A data mart is often a smaller subset of a data warehouse or other data platform, often designed to support the needs of a given business strategy or objective (Benander, Benander, Fadlalla, Gregory, 2000). The term data mart can apply equally to evaluational data, operational data, metadata, or spatial data. Data marts are designed to align with the strategic information requirements of a given business unit or functional area of an organization (Benander, Benander, Fadlalla, Gregory, 2000). Examples of this include specific data marts dedicated to accounting, finance, marketing, sales and service. A data mart is designed often as a one-dimensional model or star schema composed as a factor table or multi-dimensional table (Benander, Benander, Fadlalla, Gregory,…