Data warehousing
Data warehousing captures data from a variety of sources so it can be accessed and analyzed by business analysts, data scientists and other end users. One goal is to enhance data quality and consistency for analytics uses while improving business intelligence. Read how data warehousing provides these and other unique benefits to overall data management strategy.
Top Stories
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News
19 Nov 2024
With new Fabric features, Microsoft aims at AI development
New data management and analytics suite features include databases and a data catalog to enable enterprises to develop and operationalize advanced applications. Continue Reading
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Feature
23 Oct 2024
Databricks lakehouse a secret weapon for WNBA's Fever
The vendor's platform has helped Pacers Sports & Entertainment -- parent company of the NBA's Pacers and WNBA's Fever -- free data from isolation to fuel an analytics-driven future. Continue Reading
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Feature
15 Feb 2016
Examining the IBM PureData System for Analytics appliance
Powered by Netezza technology, the IBM PureData System for Analytics data warehouse appliance enables users to execute complex queries and get results quickly. Continue Reading
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Feature
16 Nov 2015
The benefits of deploying a data warehouse platform
Big data may be all the rage, but data warehouse platforms are still being utilized by companies of all sizes. Expert Craig S. Mullins takes a look at the technology. Continue Reading
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Answer
11 Oct 2011
Key issues to consider when building a data warehouse
There are numerous issues, both technical and cultural, that organizations need to consider before building a data warehouse. Learn what they are from our data warehousing expert. Continue Reading
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Answer
18 May 2011
Six tips for improving data warehouse performance
Get six expert tips for improving data warehouse performance. Learn how database engines, SSDs and MOLAP cubes can affect your data warehouse performance. Continue Reading
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Feature
04 Feb 2010
Key benchmarks for measuring transaction processing performance
Find key benchmarks for measuring transaction processing performance at your company, and learn about XA two-phase commit and types of transaction processing. Continue Reading
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Answer
10 Apr 2009
What are the most common system implementation mistakes?
Learn about some of the biggest mistakes in system implementation and why successful implementations are few and far between. Find out how to avoid these pitfalls with careful planning and more tips from our project management expert. Continue Reading
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Answer
26 Jun 2008
How to evaluate data warehouse software in five steps
Get five steps to evaluating data warehouse software from a data warehouse expert. Continue Reading
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News
10 Apr 2008
Why Are Data Warehouses Growing So Fast?
Richard Winter provides observations on the causes and effects of the explosion of digital information. Continue Reading
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Answer
16 Mar 2006
Ralph Kimball vs. Bill Inmon approaches to data warehouse design
Learn about the debate between the Ralph Kimball and Bill Inmon approaches to data warehouse design. Continue Reading
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News
06 Jan 2005
Data warehousing for government
Surprisingly, Data Warehouses have been slow to be adopted in the government circles. Continue Reading