Author: Sandeep Yarabarla Full Title: Learning Apache Cassandra, 2nd Edition Publisher: Packt Publishing - ebooks Account; 2nd Revised edition edition (April 25, 2017) Year: 2017 ISBN-13: 9781787127296 (978-1-78712-729-6) ISBN-10: 178712729X Pages: 360 Language: English Genre: Databases & Big Data File type: AZW3 (True) Quality: 10/10 Price: $44.99 Build a scalable, fault-tolerant and highly available data layer for your applications using Apache Cassandra. Cassandra is a distributed database that stands out thanks to its robust feature set and intuitive interface, while providing high availability and scalability of a distributed data store. This book will introduce you to the rich feature set offered by Cassandra, and empower you to create and manage a highly scalable, performant and fault-tolerant database layer. The book starts by explaining the new features implemented in Cassandra 3.x and get you set up with Cassandra. Then you’ll walk through data modeling in Cassandra and the rich feature set available to design a flexible schema. Next you’ll learn to create tables with composite partition keys, collections and user-defined types and get to know different methods to avoid denormalization of data. You will then proceed to create user-defined functions and aggregates in Cassandra. Then, you will set up a multi node cluster and see how the dynamics of Cassandra change with it. Finally, you will implement some application-level optimizations 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 ✓ Create keyspaces and 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 ✓ Develop simple application using Java driver and implement application-level optimizations ------------- Our members see more. Join us!
