Steve Wilkes, founder and CTO of Striim, discusses why streaming data integration is such a critical element in adopting a modern data architecture.
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You know streaming integration is an essential part of enterprise modernization, but why? Why is that? Why is streaming integration and why now? Well, streaming integration is all about treating your data the way it should be treated. Batch data is an artifact of technology in technology history, but storage was cheap and memory and CPU was expensive, and so people would store lots of data and then process it later. But data is not created in batches. Data is created row-by-row, line-by-line, event-by-event – as things in the real world happen. So if you’re treating your data in batches, you’re not respecting it; you’re not treating it the way that it was created. In order to do that, you need to collect that data and process it as it’s being produced and do all of this in a streaming fashion. And that’s what streaming integration is all about.