Spark: The Definitive Guide: Big Data Processing Made Simple, Chambers Bill, Zaharia Matei
Автор: Bradshaw Shannon, Chodorow Kristina Название: Mongodb: The Definitive Guide: Powerful and Scalable Data Storage ISBN: 1491954469 ISBN-13(EAN): 9781491954461 Издательство: Wiley Рейтинг: Цена: 8394.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Smart Nigel P. Название: Cryptography Made Simple ISBN: 3319219359 ISBN-13(EAN): 9783319219356 Издательство: Springer Рейтинг: Цена: 6288.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: He takes a modern approach, where defining what is meant by "secure" is as important as creating something that achieves that goal, and security definitions are central to the discussion throughout. The author balances a largely non-rigorous style - many proofs are sketched only - with appropriate formality and depth.
Описание: This practical book helps you understand the breadth of Azure services by organizing them into a reference framework you can use when crafting your own big data analytics solution.
Автор: Hamstra Mark, Zaharia Matei Название: Learning Spark: Lightning-Fast Big Data Analytics ISBN: 1449358624 ISBN-13(EAN): 9781449358624 Издательство: Wiley Рейтинг: Цена: 5067.00 р. Наличие на складе: Поставка под заказ.
Описание: Written by the developers of Spark, this book will have data scientists and engineers up and running in no time.
Описание: With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools.
Learn how to take full advantage of Apache Kafka, the distributed, publish-subscribe queue for handling real-time data feeds. With this comprehensive book, you ll understand how Kafka works and how it s designed. Authors Neha Narkhede, Gwen Shapira, and Todd Palino show you how to deploy production Kafka clusters; secure, tune, and monitor them; write rock-solid applications that use Kafka; and build scalable stream-processing applications.Learn how Kafka compares to other queues, and where it fits in the big data ecosystemDive into Kafka s internal designPick up best practices for developing applications that use KafkaUnderstand the best way to deploy Kafka in production monitoring, tuning, and maintenance tasksLearn how to secure a Kafka clusterGet detailed use-cases"
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