Chinmay Soman – Faster Analytics for Fast Data with Apache Pinot and Flink SQL
Channel: Plain Schwarz
Date: 31/08/2021

OLAP data stores like Apache Pinot are emerging to serve low-latency analytical queries at web scale. With its columnar data format and rich indexing strategies, Pinot is a perfect fit for running complex, interactive queries on multi-dimensional data within milliseconds. In some cases, though, streaming data will require non-trivial pre-processing that is not supported in Pinot, like joins and pre-aggregations. What then? 

In this talk, we’ll cover the benefits of combining Pinot and stream processing with Flink SQL to power near real-time OLAP use cases, and build a simple demo to analyze streaming Twitch data (#meta) — from ingestion to visualization!

Speaker:
Chinmay Soman – https://2021.berlinbuzzwords.de/member/chinmay-soman

More: https://2021.berlinbuzzwords.de/session/faster-analytics-fast-data-apache-pinot-and-flink-sql