Data integration key to managing database environments

Ellen O'Brien
When managing complex database environments, IT vendors and buyers agree on the three top priorities: integration, integration and integration.

The challenge of data integration is not a new one. However, restrictions on IT spending and staffing in the last year have placed even greater importance on knowing how to integrate existing systems rather than investing in new technology.

"Quite honestly, the complexity of how you choose to build applications and systems, has mushroomed," said Stephen Hendrick, a vice president at Framingham, Mass.-based DC. "We've ended up with a massive number of islands of technology."

That explains why so many vendors seem to be bragging about their data integration capabilities these days.

"Going with the niche vendors means using ETL [extract, transform, load]," Russom said. "That process can take weeks. EII [enterprise information integration], like IBM is using, collects data and integrates it within a few minutes."

But, Russom said, there is a trade-off. "If you want to move huge amounts of data, it has to be done with an ETL, too," he said. "For relatively small amounts of data, you want an EII solution."

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