Name: Optimizing Real-Time Analytics: Unraveling JOINs in Flink and Pinot
Start: 2024-01-30T15:00:00-08:00
End: 2024-01-30T16:30:00-08:00

In this meetup, we will talk about when to perform JOINs. Should you preprocess joins in a stream processor or do them in Pinot. We will go over how this all relates to “one big table” (OBT) and UPSERTs. At the end, we will better understand how to model your real-time analytics.

03:00 PM PDT/6:00 PM EST
[Hubert Dulay](https://www.linkedin.com/in/hkdulay/), Developer Advocate - [StarTree](http://www.startree.ai/)
Hubert Dulay is an O'Reilly author of “Streaming Data Mesh” and "Streaming Databases" (early access). He is a veteran engineer with over 20 years of experience in big and fast data. Hubert has compiled his experiences with data from his time while consulting for many financial institutions, healthcare organizations, and telecommunications companies, providing simple solutions that solved many data problems.

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Optimizing Real-Time Analytics: Unraveling JOINs in Flink and Pinot

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Real-Time Analytics with Apache Pinot™ by StarTree

Optimizing Real-Time Analytics: Unraveling JOINs in Flink and Pinot

Real-Time Analytics with Apache Pinot™ by StarTree

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