Apache Druid Adoption – Plan Your Druid Table Datasources

Tables are at the heart of analytics in Druid, and they have associated with them some important configuration settings. Peter Marshall, Director of Imply’s Developer Relations team, shares community wisdom on the number, style, and purpose of Druid tables, not to help you get the best query performance, but also things you may need to consider for the on-going maintenance of your Druid database.

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About Imply
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.

With Imply, developers have a database that is uniquely built for these analytics applications, delivering sub-second queries at scale and under load. The result? No spinning wheel and no limit to the analytics in their applications.

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I'm considering using druid and these lectures are highly valuable please post more deep dives. Also real life use cases with end to end design and implementation and how to unit test ingestion spec would be highly valuable.