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Online Talk

Empowering Streams Through KSQL

Recording Time: California

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.

발표자

Tim Berglund

Tim Berglund는 강사이자 저술가이며 StarTree 개발자 관계 리더로 재직하고 있습니다. 미국 및 전 세계의 컨퍼런스에서 발표하는 시간도 자주 갖고 있습니다. 또한 Git부터 Distributed Systems에 이르는 다양한 주제를 아우르는 O'Reilly 교육 비디오의 공동 진행자이며 Gradle Beyond the Basics의 저자이기도 합니다. Tim은 X(구 Twitter)에서 @tlberglund 계정으로 활동 중이고, 아주 가끔이지만 운영 중인 블로그 http://timberglund.com에 포스팅하며, http://devrelrad.io 팟캐스트를 공동으로 진행하고 있습니다. 장성한 두 자녀를 독립시킨 후 어린 시절 만난 아내와 막내 자녀와 함께 미국 콜로라도주 리틀턴에 거주 중입니다.

Nick Dearden

Director of Engineering, 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

CEO

Hojjat is the founder and CEO of DeltaStream, a serverless database to manage, secure and process all your streams on cloud. Before starting DeltaStream, he was at Confluent where he created ksqlDB, a database purpose-built for stream processing applications from Confluent. Prior to Confluent, he worked at NEC Labs, Informatica, Quantcast and Tidemark on various big data management projects. He has a Ph.D. in computer science from UC Irvine, where he worked on scalable stream processing and publish/subscribe systems.

Sanvy Sabapathee

Senior Solutions Engineer

Sanvy Sabapathee comes from a DevOps and automation background and currently brings this specialization to customers and products to increase the value delivered by Confluent to its customers.

Guru Sattanathan

Systems Engineer

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.