Apache Druid Adoption – Optimize your segments

Taking advantage of Druid’s parallelism is just one part of the story – you also need to be aware of the optimizations that you and Druid can perform on data to make it faster. Peter Marshall gives a 10,000 feet view of the things to look out for, and what to go and investigate to make highly-optimized segments.

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Developers are in the driver’s seat when it comes to analytics, building applications that serve real-time insights on terabytes to petabytes of streaming and batch data at hundreds to thousands of queries per second.

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