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Published by O'Reilly Media 3/2/2021, 2021
ISBN 10: 1492062499 ISBN 13: 9781492062493
Language: English
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Paperback. Condition: New. 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 patternBuild stateless and stateful stream processing applications using Kafka Streams and ksqlDBPerform advanced stateful operations, including windowed joins and aggregationsUnderstand how stateful processing works under the hoodLearn about ksqlDB's data integration features, powered by Kafka ConnectWork with different types of collections in ksqlDB and perform push and pull queriesDeploy your Kafka Streams and ksqlDB applications to production.
Published by O'Reilly Media, Sebastopol, 2021
ISBN 10: 1492062499 ISBN 13: 9781492062493
Language: English
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Paperback. Condition: new. 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 multiple locations in the US or from the UK, depending on stock availability.
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Published by O'Reilly Media, Inc, USA 2021-03-31, 2021
ISBN 10: 1492062499 ISBN 13: 9781492062493
Language: English
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ISBN 10: 1492062499 ISBN 13: 9781492062493
Language: English
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Published by O'Reilly Media, Inc., 2021
ISBN 10: 1492062499 ISBN 13: 9781492062493
Language: English
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Add to basketPaperback. Condition: New. 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 patternBuild stateless and stateful stream processing applications using Kafka Streams and ksqlDBPerform advanced stateful operations, including windowed joins and aggregationsUnderstand how stateful processing works under the hoodLearn about ksqlDB's data integration features, powered by Kafka ConnectWork with different types of collections in ksqlDB and perform push and pull queriesDeploy your Kafka Streams and ksqlDB applications to production.
Published by O'Reilly Media, Inc., 2021
ISBN 10: 1492062499 ISBN 13: 9781492062493
Language: English
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Add to basketPaperback. Condition: New. 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 patternBuild stateless and stateful stream processing applications using Kafka Streams and ksqlDBPerform advanced stateful operations, including windowed joins and aggregationsUnderstand how stateful processing works under the hoodLearn about ksqlDB's data integration features, powered by Kafka ConnectWork with different types of collections in ksqlDB and perform push and pull queriesDeploy your Kafka Streams and ksqlDB applications to production.
Published by Oreilly & Associates Inc, 2021
ISBN 10: 1492062499 ISBN 13: 9781492062493
Language: English
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Add to basketCondition: New. 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 am.