Enterprise data integration software basics, with expert Rick Sherman

Featured expert: Rick Sherman, Athena IT Solutions

Listeners will get a succinct overview of the differences between common and emerging enterprise data integration technologies, and will learn what drives companies to choose one method over another. Rick also offers expert advice and best practices for strategic project planning.

Check out the other podcasts in the data management briefing series, including an overview of customer data integration, featuring Jill Dyche and an introduction to master data management, with David Loshin.

About the featured expert:
Rick Sherman has more than 20 years of business intelligence and data warehousing experience and has worked on more than 50 implementations as an independent consultant and as a director/practice leader at a Big Five accounting firm. Rick is the founder of Athena IT Solutions, a Stow, Mass.-based business intelligence consulting firm specializing in assessment and training services. He is also a regular contributor to SearchDataManagement.com.

Enterprise data integration software basics, with expert Rick Sherman

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The alphabet soup of data integration technologies -- ETL, EAI, EII, EIM, SOA and others -- are more confusing than ever. Here's an overview of data integration technologies.

Program Links:

• Technology can only solve part of the integration mystery: Do you know the data integration fundamentals? Columnist Rick Sherman warns against the dangers of expecting too much from tools and technology.

• ETL [extract, transform and load] tools transforming: The extract, transform, load (ETL) tools market is transforming and growing to facilitate all kinds of data movement, a study finds. Learn the trends and leaders in the ETL space.

• Data integration joins the on-demand craze: Data integration is evolving as companies migrate to on-demand applications such as Salesforce.com. New tools manage data integration between internal and external applications.

• SearchDataManagement.com glossary: Our editors have gathered definitions from sister site Whatis.com, so you can quickly look up a new term or refresh your memory about an old one.

• Seven master data management best practices: Master data management's early adopters share best practices and potential pitfalls.

  
  
  

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