One of the major benefits that Apache Kudu offers to its users is the ability to perform low latency analytics on rapidly changing data, including time-series, machine data, and data warehousing. However, in order to be effective, you need to move the data into Kudu while the data is still relevant. The question is, how do you deliver data into your Kudu environment in real time, as soon as possible after the data is originally created.

In this contributed thought leadership piece by Irem Radzik, head of product marketing at Striim, she shares the top 5 considerations when choosing a data integration solution for Kudu. Read the full piece on Datanami, “5 Key Data Integration Considerations for Apache Kudu.”

See how streaming data integration can work for you.

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