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Kafka can be extremely useful when streaming data, but it can also be challenging to manage and hard to navigate for non-developers. And despite streaming all that data, you’re often left sorting unstructured info in a database, and the actual mining for insights takes a back seat.

But there are ways to perform BI and data science functions on your data even as Kafka streams it. Setting your analytics and BI efforts in that way can make your data ecosystem more efficient, too.

Read on to learn how deploying data streaming BI and smarter Kafka analytics can allow you to reduce bloat, increase speed to insight, and create new data use cases.

Nov 23, 2021
Apr 9, 2020
White Paper

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