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Verlag: O'Reilly Media, Sebastopol, 2021
ISBN 10: 1492062499 ISBN 13: 9781492062493
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: 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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In den WarenkorbZustand: New. 2021. Paperback. . . . . .
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In den WarenkorbTaschenbuch. Zustand: Neu. Neuware - '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.'.
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In den WarenkorbZustand: 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.
Verlag: O'Reilly Media, Sebastopol, 2021
ISBN 10: 1492062499 ISBN 13: 9781492062493
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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In den WarenkorbPaperback. Zustand: Brand New. 400 pages. 9.25x7.00x1.00 inches. In Stock. This item is printed on demand.