Apache Pinot : A Hands on Course

Apache Pinot : A Hands on Course
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch

Learn the Core Concepts of Apache Pinot which is a new Realtime Analytics Datastore and also work with Hands On Examples

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
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 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.

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