Top 10 Requirements for Modern Data Integration

Check out this presentation, courtesy of Viakom Krishna, VP of Engineering at SnapLogic. Data Integration is changing, and enterprises are collecting data from more sources than legacy solutions can deal with. As a result, the market has evolved, and software tools are having to change with the times.

Prior to this evolution, integration tools remained in the hands of IT departments. However, this can no longer be the case. End-users need to tools they can utilize on-demand, helping them migrate data from disparate sources to gain a single unified view. In this way, Data Integration tools should be flexible, enabling business analysts self-service functionality.

In this slideshow, the Data Integration experts themselves explain ten requirements that modern tools must posses. As you might guess, many of these requirements involve providing users the autonomy they need to answer questions when they see fit, not just when the IT department needs a question answered.

Timothy King
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Timothy King

Senior Editor at Solutions Review
Timothy is Solutions Review's Senior Editor. He is a recognized thought leader and influencer in enterprise middleware. Timothy has also been named a top-250 global business journalist by Richtopia.
Timothy King
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