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This blog post is a guide to getting started with Apache Pinot, including installing and running the necessary components of a Pinot cluster. It also explains how to set up schemas, tables, and load data into Pinot, as well as how to run queries using the Pinot Data Explorer. The next article in the series will cover consuming event streaming data with Apache Pinot and Apache Kafka.

The blog post explains the star-tree index in Apache Pinot and its benefits compared to traditional materialized views. By implementing a star-tree index, query performance significantly improved, reducing query latency from 1,513 ms to just 4 ms and drastically reducing disk reads by 99.999%.

This post will explore a new API endpoint that lets you check how much Pinot is lagging when ingesting from Apache Kafka.

This post will explore a new API endpoint that lets you check how much Pinot is lagging when ingesting from Apache Kafka.

This post will explore the ability to configure the time boundary when working with hybrid tables.