Free ksqlDB 101 Training with Live Walkthrough Exercise

Dec 14, 2021 · Palo Alto, United States of America

Join us for an Apache Kafka meetup on December 14th from 5 pm PST. To find out when the event is in your timezone, follow this link:

The agenda and speaker information can be found below. Log in or Join our Slack or Forum ( to ask any follow-up questions!

5:00 pm - 5:05 pm: Networking
5:05 pm - 5:50 pm: Mukta Kachhara, Confluent
5:50 pm - 6:00 pm: Q&A

Mukta Kachhara, Senior Technical Instructor, Confluent

Mukta Kachhara is a senior technical instructor at Confluent. Mukta is also liaison for the Confluent Stream processing using Apache Kafka Streams and ksqlDB class content development. She has many years of experience working on distributed trader voice communication systems.

Inside ksqlDB

In this meetup, we’re going to learn the fundamentals of ksqlDB. ksqlDB, the database for stream processing applications, is becoming one of the most popular ways to work with Apache Kafka®. Every day, there are many questions about the project, but here’s a question with an answer that we are always trying to improve: How does ksqlDB work?

The mechanics behind stream processing can be challenging to grasp. The concepts are abstract, and many of them involve motion—two things that are hard for the mind’s eye to visualize. In this talk, I'll open the hood of ksqlDB to explore its essential elements: rows, streams, tables, view materialization. We’ll look at how each of these works and how it all relates to Kafka, then we will see how to use ksqlDB to perform filtering and aggregation of data.

Don't forget to join our Forum and Community Slack Team!
If you would like to speak or host our next event please let us know! [masked].


Event organizers
  • Bay Area Apache Kafka® Meetup

    This is a group interested in Apache Kafka® - ----- **** Join our Slack Channel for live, global interaction! **** This Meetup Group will focus on the Apache Kafka® technology and its ecosystem, also allowing its members to interact and share their use cases, do and don't, how to's, etc. We will also hear about the Confluent Platform and topics like Kafka's Connect API and streaming data pipelines, Kafka’s Streams API and stream processing, Security, Microservices and anything

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