May 31, 2011
This TDWI Checklist Report helps you determine if your data integration environment has performance issues. It describes alternative solutions and includes the pros and cons for each.
Sponsored By Syncsort
May 10, 2011
This TDWI Checklist Report makes a case for private database clouds, especially as a platform for consolidated BI and DW applications.
Sponsored By Oracle
April 1, 2011
Data integration (DI) has undergone an impressive evolution in recent years. Today, DI is a rich set of powerful techniques, including ETL (extract, transform, and load), data federation, replication, synchronization, changed data capture, data quality, master data management, natural language processing, business-to-business data exchange, and more. This report brings readers up to date on all that's happening in this exciting arena of data management.
Sponsored By DataFlux, IBM, Informatica Corporation, SAP, Syncsort, Talend
March 21, 2011
By Laura L. Reeves
Gathering requirements is the most critical step in any project, and certainly for a data warehouse project. A data warehouse should deliver an environment that empowers the business community rather than an application system that accurately performs specific business functions. This difference in approach will change the way you go about gathering requirements.
March 21, 2011
Knowledge is power. The question is, do you have the right knowledge? This issue, we look at business analytics, structured/unstructured data, visual reporting, success factors for BI/DW, and more.
February 1, 2011
In this issue of the Best of Business Intelligence, Stephen Swoyer names insurgent BI and a return to end-user-oriented BI offerings as some of 2010’s trends, and Philip Russom shares his predictions for the coming year, asserting that advanced analytics has become a nexus for BI and DW.
December 6, 2010
Data federation is a relatively new form of data integration, but it has achieved a significant role in today’s data management strategies. Data federation allows data integration teams to quickly create virtually integrated sets of data for many purposes—business intelligence (BI), customer relationship management (CRM), master data management (MDM), and so on.