Tag Archives: schema

Data Virtualization Quick Tips

The ability to create abstract schemas that are mapped to back-end physical databases provides a huge advantage for those enterprises looking to get their data under control.  However, given the power of data virtualization, there are a few things that those in charge of data integration should know. Here are a few quick tips.

Tip 1:  Start with a new schema that is decoupled from the data sources. (more…)

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Posted in Data Services | Tagged , , , , | Leave a comment

Informatica And EMC – So What’s The Big Idea?

Last month, Informatica and EMC announced a strategic partnership at EMC’s annual user conference in Boston.  This is a significant new relationship for both companies-which in itself is interesting.  You would have thought that the company responsible for storing more data than just about anybody in the world and the company responsible for moving more data than anybody in the world would have come together many years ago.  So why now?  What’s different?

Virtualization changes everything.   Customers have moved beyond virtualizing their infrastructure and their operating systems and are now trying to apply the same principles to their data.  Whether we’re moving the data to the processing, or the processing to the data, it’s clear where data physically lives has become increasingly irrelevant.   Customers want data as a service and they don’t want to be hung up on the artificial boundaries created by applications, databases, schemas, or physical devices. (more…)

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Posted in Application ILM, Application Retirement, Data Integration, Database Archiving, Master Data Management | Tagged , , , | Leave a comment

If You Have A Data Integration Round Hole, Don’t Buy Square Pegs

I’m often taken aback by the focus on technology as “the solution,” and not as an approach to the solution. One of the reasons I blog for Informatica is because they do focus on the solution and not the tool. Believe me, vendors will sell plenty of tools if they provide those tools in the context of the solution.

So, how do you find the right data integration tool? It’s really a matter of understanding your own data integration requirements, and creating baseline models for what the existing “as is” state is. This means you must understand your data at the structure and model levels, or, more simply put, you must understand what you have, where you have it, and what it’s doing. (more…)

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Posted in Cloud Computing, Data Aggregation, SOA | Tagged , , , , | Leave a comment