Empowering Streams Through KSQL

Empowering Streams Through KSQL

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KSQL is a modern-day streaming SQL engine for Apache Kafka® that 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.

Exploring KSQL Patterns

Tuesday Sept. 10, 2019 at 10:30 am Bangkok / 11:30am Singapore / 1:30pm Sydney

This session covers the patterns and techniques of using KSQL. A video from Tim Berglund, Senior Director of Developer Experience, 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.

Live Coding a KSQL Application

Tuesday Sept. 24, 2019 at 10:30 am Bangkok / 11:30am Singapore / 1:30pm Sydney

This session 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. 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.

Deploying and Operating KSQL

Tuesday Oct. 8, 2019 at 10:30 am Bangkok / 11:30am Singapore / 1:30pm Sydney

This talk 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.

These talks will be hosted by Confluent Asia Pacific and be a combination of pre-recorded content with a live Q&A.

Speakers

Tim Berglund

Tim Berglund, Sr. Director of Developer Experience, Confluent

Tim Berglund is a teacher, author, and technology leader with Confluent, where he serves as the Senior Director of Developer Experience. He can frequently be found at speaking at conferences in the United States and all over the world. He is the co-presenter of various O’Reilly training videos on topics ranging from Git to Distributed Systems, and is the author of Gradle Beyond the Basics. He tweets as @tlberglund, blogs very occasionally at http://timberglund.com (http://timberglund.com/), is the co-host of the http://devrelrad.io (http://devrelrad.io/) podcast, and lives in Littleton, CO, USA with the wife of his youth and their youngest child, the other two having mostly grown up.

Nick Dearden

Nick Dearden, Director of Stream Processing, Confluent

Nick Dearden is a technology and product leader at Confluent, where he enjoys leveraging many years of experience in the world of data and analytic systems to help design and explain the power of a streaming platform for every business. Prior to Confluent, he led the data platform group for a leading online real-estate seller and was chief architect for a cloud-based financial analytics platform. His early career stretches all the way back through multiple data warehouse and business intelligence adventures to the green-screen days of mainframe banking systems.

Hojjat Jafarpour

Hojjat Jafarpour, Software Engineer, Confluent

Hojjat Jafarpour, KSQL Project Lead, Confluent. Hojjat is a software engineer at Confluent and is a creator of KSQL. His specialties include large scale data management systems, with extensive knowledge and hands on experience on Kafka/Kafka Streams, Spark, SparkSQL and Hadoop Echosystem and NoSQL data stores. Hojjat has extensive expertise in the design and implementation of cloud-based systems, hands on experience in design, implementation and deployment on AWS, as well as database application development.

Sanvy Sabapathee

Sanvy Sabapathee , Systems Engineer, Confluent

Before joining Confluent Sanvy Sabapathee was an Automation Engineer and comes from a Devops/Agile background with a heavy focus on full stack automation. He now applies some of these practices in Big/Fast Data ecosystems, and in his role as System Engineer at Confluent Asia Pacific.

Guru Sattanathan

Guru Sattanathan, Systems Engineer, Confluent

Gnanaguru (Guru) Sattanathan is a Systems Engineer at Confluent. He focuses on helping enterprises to bring up Fast Data platforms that can process real-time events at a scale. His experience includes implementing IoT solutions & Real-time data platforms for enterprises across diverse industry verticals.

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