Category: David Linthicum – Data Integration Perspectives

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Big Data and the Need for New Approaches to Data Integration

What does “Big Data” have to do with data integration? Those looking to move to technologies such as MapReduce and Hadoop who don’t have a good data integration strategy to go with their “Big Data” strategy will quickly need to get one.

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Integration and Healthcare Interoperability

We are spending a huge amount of money on healthcare. Current estimates put U.S. health care spending at approximately 16% of GDP, second highest in the world. Experts agree that we need to reduce costs as well as increase services to healthcare users such as you and I. Indeed, the Health and Human Services Department [...]

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We Don’t Need Integration Standards

Of course we need standards, but in many instances they are counter productive and should thus be considered in the context of the value of integration. While this is a tricky and somewhat politically incorrect topic, perhaps it’s something to discuss before taking on your next integration project. I often run into issues where those [...]

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Moving to the Next Generation of Data Integration

There is a lot of activity in the data integration space these days, including some consolidation and the movement to cloud computing. As we move in new directions it’s helpful to understand the world of data integration in the context of past and current trends. First of all, the core value of data integration remains [...]

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Understanding the Intersection between SOA, Data Integration, and Cloud Computing

I just wrote a book about SOA and cloud computing, and how the two are converging. The reaction to the book that took me aback the most is the fact that few out there understand the differences between SOA and cloud computing, and the role of data integration with all of this. Perhaps it’s time [...]

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