Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale, Narkhede Neha, Shapira Gwen, Palino Todd

Автор: Shapira Gwen, Palino Todd, Sivaram Rajini
Название: Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale
ISBN: 1492043087 ISBN-13(EAN): 9781492043089
Издательство: Wiley
Цена: 10136.00 р.
Наличие на складе: Есть у поставщикаПоставка под заказ.
Описание: With this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafka`s AdminClient API, transactions, new security features, and tooling changes.

Автор: Bradshaw Shannon, Chodorow Kristina
Название: Mongodb: The Definitive Guide: Powerful and Scalable Data Storage
ISBN: 1491954469 ISBN-13(EAN): 9781491954461
Издательство: Wiley
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Цена: 8394.00 р.
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Описание: Manage your data with a system designed to support modern application development. Updated for MongoDB 4.2, the third edition of this authoritative and accessible guide shows you the advantages of using document-oriented databases.

Автор: Andrade
Название: Fundamentals of Stream Processing
ISBN: 1107015545 ISBN-13(EAN): 9781107015548
Издательство: Cambridge Academ
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Цена: 13781.00 р.
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Описание: This book teaches fundamentals of the stream processing paradigm that addresses performance, scalability and usability challenges in extracting insights from massive amounts of live, streaming data. It presents core principles behind application design, system infrastructure and analytics, coupled with real-world examples for a comprehensive understanding of the stream processing area.

Автор: Chambers Bill, Zaharia Matei
Название: Spark: The Definitive Guide: Big Data Processing Made Simple
ISBN: 1491912219 ISBN-13(EAN): 9781491912218
Издательство: Wiley
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Цена: 8869.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.