Mastering Kafka Streams and ksqlDB (Paperback)

Mitch Seymour

ISBN 10: 1492062499 / ISBN 13: 9781492062493

Verlag: O'Reilly Media, Sebastopol, 2021

Beschreibung

Paperback. Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide explores the world of real-time data systems through the lens of these popular technologies and explains important stream processing concepts against a backdrop of interesting business problems. Mitch Seymour, senior data systems engineer at Mailchimp, introduces you to both Kafka Streams and ksqlDB so that you can choose the best tool for each unique stream processing project. Non-Java developers will find the ksqlDB path to be an especially gentle introduction to stream processing. In this book, you'll learn:Basic and advanced uses of Kafka Streams and ksqlDBHow to transform, enrich, and process event streamsHow to build both stateless and stateful stream processing applicationsThe different notions of time and the role it plays in stream processingHow to to build event-driven microservices on top of continuous event streamsFeatures, operational characteristics, deployment patterns, and configuration tips for both technologies With Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide shows data engineers how to use these tools to build highly scalable stream processing applications for moving, enriching, and transforming large amounts of data in real time. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Bestandsnummer des Verkäufers 9781492062493

Bibliografische Details

• Titel: Mastering Kafka Streams and ksqlDB (Paperback)
• Verlag: O'Reilly Media, Sebastopol
• Erscheinungsjahr: 2021
• Sprache: Englisch
• ISBN-10: 1492062499
• ISBN-13: 9781492062493
• Einband: Paperback
• Zustand: new

Über diesen Titel

Inhaltsangabe

Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide shows data engineers how to use these tools to build highly scalable stream processing applications for moving, enriching, and transforming large amounts of data in real time.

Mitch Seymour, data services engineer at Mailchimp, explains important stream processing concepts against a backdrop of several interesting business problems. You'll learn the strengths of both Kafka Streams and ksqlDB to help you choose the best tool for each unique stream processing project. Non-Java developers will find the ksqlDB path to be an especially gentle introduction to stream processing.

• Learn the basics of Kafka and the pub/sub communication pattern
• Build stateless and stateful stream processing applications using Kafka Streams and ksqlDB
• Perform advanced stateful operations, including windowed joins and aggregations
• Understand how stateful processing works under the hood
• Learn about ksqlDB's data integration features, powered by Kafka Connect
• Work with different types of collections in ksqlDB and perform push and pull queries
• Deploy your Kafka Streams and ksqlDB applications to production

Über die Autorin bzw. den Autor

Mitch Seymour is a Senior Data Systems Engineer at Mailchimp. Using Kafka Streams and KSQL, he has built several stream processing applications that process billions of events per day with sub-second latency. He is active in the open source community, has presented about stream processing technologies at international conferences (Kafka Summit London, 2019), speaks about Kafka Streams and KSQL at local meetups, and is a contributor to the Confluent blog.