【2015】 Learning Apache Cassandra - Manage Fault Tolerant and Scalable Real-Time Data

Book 图书名称： Learning Apache Cassandra - Manage Fault Tolerant and Scalable Real-Time Data
Author 作者： Mat Brown
Publisher 出版社： Packt Publishing - ebooks Account
Page 页数： 276 & 334
Publishing Date 出版时间： Feb 25, 2015
Language 语言：English
Size 大小： 4.8 MB & 3.5 MB
Format 格式：epub & pdf 文字版
ISBN: 1783989203, 9781783989201
Edition: 第1版 搜索过论坛，没有该文档


Key FeaturesLearn how to install and use Cassandra from the ground upDesign rich schemas that capture the relationships between different data types using compound primary keysMaster the advanced features available in Cassandra 2.0 through a step-by-step tutorial that builds a real-world application's database layer.Book Description
Cassandra is a distributed database that stands out for its robust feature set and intuitive interface, while still providing the high availability and scalability of a distributed store.

Starting from installing Cassandra and creating your first keyspace, to mastering the different table structures Cassandra offers and exploring the latest and most powerful features of the Cassandra Query Language, CQL3, this book explores each topic through the lens of a real-world example application. With plenty of examples, tips, and clear explanations, you'll master compound primary keys, collection columns, lightweight transactions, and many other advanced aspects of Cassandra.

By the end of the book, you'll be fully equipped to build powerful, scalable Cassandra database layers for your applications.
What you will learnInstall Cassandra and create your first keyspaceChoose the right table structure for the task at hand in a variety of scenariosUse range slice queries for efficient data accessEffortlessly handle concurrent updates with collection columnsEnsure data integrity with lightweight transactions and logged batchesUnderstand eventual consistency and use the right consistency level for your situationImplement best practices for data modeling and accessAbout the Author
Mat Brown is a professional software engineer in Brooklyn, New York. In his career, he has focused on building consumer-facing web and mobile applications for several companies; he currently works at Genius.
Table of ContentsGetting up and Running with CassandraThe First TableOrganizing Related DataBeyond Key-value LookupEstablishing RelationshipsDenormalizing Data for Maximum PerformanceExpanding Your Data ModelCollections, Tuples, and User-defined TypesAggregating Time-series DataHow Cassandra Distributes Data

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