Apache Pinot is a Realtime Distributed Analytical Datastore. It can handle millions of real-time events per minute and can also serve queries in a few milliseconds.

Pinot is a new Big Data Technology that is being adopted by multiple companies like Linkedin, Uber, Slack, Target, Walmart, and many others. With real-time analytics of big data becoming pretty important, Learning an On-Demand Technology like Pinot will be a great addition to your skillset.

Pinot is mainly used in User facing Realtime Analytics where end-users of an application can directly send queries to Pinot. User-facing applications need to respond back in a few milliseconds and also need to handle a huge volume of requests. Pinot can do both of these really well. Pinot can also be used to get insights from real-time data.

I have created this Hands-On Course on Apache Pinot so that you can get a good understanding of what Pinot is and when to use it.

This course covers the following topics

• An introduction to Pinot.

• Typical use cases for Pinot.

• Hands-On sessions to set up a complete Pinot cluster in your local machine.

• A quick introduction to Kafka to show how it can be used along with Pinot for Stream Ingestion.

• Stream and Batch ingestion in Pinot with corresponding Hands-On Sessions.

• Improving query latencies with Indexing in Pinot with a Hands-On Session.

• Improving query latencies in Pinot using pre-aggregation techniques with a Hands-On Session.

• Different types of queries which are supported by Pinot.

This course ensures that you get a good idea about the various concepts of Pinot. Also, the Hands-On sessions ensure that all the concepts you have learned can be implemented practically.