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Apache Pinot : A Hands on Course
Rating: 4.3 out of 5(149 ratings)
989 students

Apache Pinot : A Hands on Course

Learn the Core Concepts of Apache Pinot which is a new Realtime Analytics Datastore and also work with Hands On Examples
Created byAditya S
Last updated 1/2024
English

What you'll learn

  • Learn about A highly scalable realtime OLAP System: Apache Pinot
  • Get Hands on experience with Pinot
  • Learn about batch and stream ingestion and how Pinot can support both
  • Learn about all the components of Pinot
  • Learn about the various optimizations which can be done in Pinot to improve Query latencies

Course content

9 sections28 lectures2h 26m total length
  • Introduction0:41
  • What is Apache Pinot and When to use it4:28
  • What will this course cover?1:37
  • Introduction Quiz

Requirements

  • Basic SQL knowledge and big data knowledge will be helpful, but it is not mandatory

Description

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.

Who this course is for:

  • Developers who want to learn a real time Analytical system which can serve 1000s of queries per second and can handle millions of records in volume
  • Developers who want to learn a system which can support both batch and stream ingestion and implement them hands on as well
  • Developers who want to learn a new and upcoming technology in the big data space
  • Developers who want to add a new and on demand technology to their skillset
  • Developers who want to learn, how an analytical system can be optimized to serve low latency queries