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Empowering Streams through KSQL

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KSQL, a modern-day streaming SQL engine for Apache Kafka, serves as the easiest way to enable continuous, interactive queries without requiring any Java or Python knowledge. Now all Apache Kafka users can gain insight into data— whether you’re a developer or member of an operations team.

This three-part online talk series will help you go from understanding KSQL to using it effectively. It will cover the ins and outs behind how KSQL works so that you can accomplish monitoring, security and anomaly detection, online data integration, application development, streaming ETL and more.

We also have an alternative version of the series broadcasted in North America.

Part 1: Exploring KSQL Patterns

This session covers the patterns and techniques of using KSQL. Neil Avery discusses the various building blocks that you can use in your own applications, starting with the language syntax itself and covering how and when to use its powerful capabilities like a pro.

Neil Avery

Neil Avery

Senior Engineer and Technologist, Office of the CTO, Confluent

Part 2: Live Coding a KSQL Application

Join us as we build a complete streaming application with KSQL. There will be plenty of hands-on action, plus a description of our thought process and design choices along the way. Look out for advice on best practices and handy tips and tricks as we go.

Robin Moffat

Robin Moffatt
Partner Technology Evangelist, EMEA, Confluent

Part 3: Deploying and Operating KSQL

In this session, Neil Avery covers the planning and operation of your KSQL deployment, including under-the-hood architectural details. You will learn about the various deployment models, how to track and monitor your KSQL applications, how to scale in and out and how to think about capacity planning.

Neil Avery

Neil Avery

Senior Engineer and Technologist, Office of the CTO, Confluent

Additional Resources

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Confluent Cloud Demo

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Kafka Microservices

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e-book: Microservices Customer Stories

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