Learning Apache Cassandra Second Edition

Sandeep Yarabarla

  • 出版商: Packt Publishing
  • 出版日期: 2017-04-27
  • 售價: $1,460
  • 貴賓價: 9.5$1,387
  • 語言: 英文
  • 頁數: 350
  • 裝訂: Paperback
  • ISBN: 178712729X
  • ISBN-13: 9781787127296
  • 相關分類: NoSQL

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商品描述

Key Features

  • Install Cassandra and use it to set up multi-node clusters
  • Design rich schemas that capture the relationships between different data types
  • Master the advanced features available in Cassandra 3.x through a step-by-step tutorial and build a scalable, high performance database layer

Book Description

Cassandra is a distributed database that stands out thanks to its robust feature set and intuitive interface, while still providing the high availability and scalability of a distributed store. This book will introduce you to the rich features offered by Cassandra, and empower you to create and manage a highly performant, fault-tolerant database layer.

The book starts by explaining the new features implemented in Cassandra 3.x, you'll see how to install Cassandra, and you'll understand Lightweight Transactions. Next you'll learn to create tables with composite partition keys, and get to know different methods to avoid denormalization of data. You will then proceed to create user-defined functions and data distribution in Cassandra. Finally, you will set up a multi node cluster and implement application-level optimization using a Java client.

By the end of this book, you'll be fully equipped to build powerful, scalable Cassandra database layers for your applications.

What you will learn

  • Install Cassandra and create your first keyspace
  • Create tables with multiple clustering columns to organize related data
  • Use secondary indexes and materialized views to avoid denormalization of data
  • Effortlessly handle concurrent updates with collection columns
  • Ensure data integrity with lightweight transactions and logged batches
  • Understand eventual consistency and use the right consistency level for your situation
  • Understand data distribution with Cassandra and get to know ways to implement application-level optimizations