Pro+ Content/BI Trends + Strategies

Thank you for joining!
Access your Pro+ Content below.
Issue 1 January 2012

Applying agile methods to data warehouse projects

Rapidly gaining in popularity, the Agile approach to data warehousing solves many of the thorny problems typically associated with data warehouse development—most notably high costs, low user adoption, ever-changing business requirements and the inability to rapidly adapt as business conditions change. The Agile approach can be used to develop any analytical database, so let’s begin with two familiar definitions:  A Data Warehouse (DW) is simply a database that contains integrated and homogenized information from one or more sources brought together to support analysis and reporting. These sources can be your internal online transactional processing (OLTP) systems such as finance, accounting, sales, marketing, payroll, supply chain, etc., or external sources such as supplier files, purchased marketing lists, Facebook, Twitter or census data, etc.  In addition to the data warehouse, you may also be using additional types of databases for analysis and reporting. The most common types include data marts and operational data stores ...

Access this Pro+ Content for Free!

By submitting you agree to recieve email from TechTarget and its partners. If you reside outside of the United States you consent to having your personal data transferred and processed in the United States. Privacy Policy

Features in this issue

News in this issue

SearchDataManagement

SearchAWS

SearchContentManagement

SearchCRM

SearchOracle

SearchSAP

SearchSQLServer

-ADS BY GOOGLE

Close