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"
Автор: Hamstra Mark, Zaharia Matei Название: Learning Spark: Lightning-Fast Big Data Analytics ISBN: 1449358624 ISBN-13(EAN): 9781449358624 Издательство: Wiley Рейтинг: Цена: 33780 T Наличие на складе: Нет в наличии. Описание: Written by the developers of Spark, this book will have data scientists and engineers up and running in no time.
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: 55960 T 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: George Lars Название: Hbase: The Definitive Guide: Random Access to Your Planet-Size Data ISBN: 1492024260 ISBN-13(EAN): 9781492024262 Издательство: Неизвестно Рейтинг: Цена: 84460 T Наличие на складе: Невозможна поставка. Описание: If you`re looking for a scalable storage solution to accommodate a virtually endless amount of data, this updated edition shows you how Apache HBase can meet your needs. Modeled after Google`s BigTable architecture, HBase scales to billions of rows and millions of columns, while ensuring that write and read performance remain constant.
Автор: Smart Nigel P. Название: Cryptography Made Simple ISBN: 3319219359 ISBN-13(EAN): 9783319219356 Издательство: Springer Рейтинг: Цена: 43110 T 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.
Автор: Tejada Zoiner Название: Mastering Azure Analytics: Architecting in the Cloud with Azure Data Lake, Hdinsight, and Spark ISBN: 1491956658 ISBN-13(EAN): 9781491956656 Издательство: Wiley Рейтинг: Цена: 38010 T Наличие на складе: Есть у поставщика Поставка под заказ. 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: Aven Jeffrey Название: Data Analytics with Spark Using Python ISBN: 013484601X ISBN-13(EAN): 9780134846019 Издательство: Pearson Education Рейтинг: Цена: 43540 T Наличие на складе: Нет в наличии. Описание: Solve Data Analytics Problems with Spark, PySpark, and Related Open Source Tools Spark is at the heart of today's Big Data revolution, helping data professionals supercharge efficiency and performance in a wide range of data processing and analytics tasks. In this guide, Big Data expert Jeffrey Aven covers all you need to know to leverage Spark, together with its extensions, subprojects, and wider ecosystem. Aven combines a language-agnostic introduction to foundational Spark concepts with extensive programming examples utilizing the popular and intuitive PySpark development environment. This guide's focus on Python makes it widely accessible to large audiences of data professionals, analysts, and developers--even those with little Hadoop or Spark experience. Aven's broad coverage ranges from basic to advanced Spark programming, and Spark SQL to machine learning. You'll learn how to efficiently manage all forms of data with Spark: streaming, structured, semi-structured, and unstructured. Throughout, concise topic overviews quickly get you up to speed, and extensive hands-on exercises prepare you to solve real problems. Coverage includes: - Understand Spark's evolving role in the Big Data and Hadoop ecosystems - Create Spark clusters using various deployment modes - Control and optimize the operation of Spark clusters and applications - Master Spark Core RDD API programming techniques - Extend, accelerate, and optimize Spark routines with advanced API platform constructs, including shared variables, RDD storage, and partitioning - Efficiently integrate Spark with both SQL and nonrelational data stores - Perform stream processing and messaging with Spark Streaming and Apache Kafka - Implement predictive modeling with SparkR and Spark MLlib
Название: Agile Data Science: Building Full-Stack Data Analytics Applications with Spark ISBN: 1491960116 ISBN-13(EAN): 9781491960110 Издательство: Wiley Рейтинг: Цена: 50680 T Наличие на складе: Есть у поставщика Поставка под заказ. 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.
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