Enterprise data integration is a hot topic and covers a wide range of technologies including enterprise application integration (EAI), enterprise information integration (EII), and extract, transformation and load (ETL). Master Data Management (MDI) is also a data integration technology and should be added to list. Just to make life interesting, analyst organizations like Gartner are talking about Customer Data Integration (CDI), which to me is a subset of MDM. Sorting all this out and coming up with a data integration strategy is not easy.
Currently I am conducting a research project on data integration for the data warehousing institute (TDWI). The results will be published in a TDWI report and Webcast in October.
The premise of the research report is that organizations are moving toward (or need to move toward) an enterprise-wide data integration strategy (of which data warehousing is a piece). It will look at different types of data integration (consolidation, federation, propagation) and data integration technology (EAI, EII, ETL, MDM). It will discuss why these technologies complement, rather than compete, with each other and suggest which technology should be used when. It will also look at requirements for data integration products and look at the concept of a data integration center.
I am interested to hear if you agree with the premise of the paper. The topic of the data integration center is also very interesting. Several companies I have interviewed either have, or are planning to have, a data integration center. Both Ascential (IBM) and Informatica are pushing this concept. Informatica recently published a book on the data integration centers and it is worth reading, even if you aren't an Informatica customer. You can find the book on Amazon.
All comments welcome. Colin.
Posted July 19, 2005 12:21 PM
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