Cassandra High Performance Cookbook - (Paperback)Gurashish Brar (author)
Paperback 332 Pages / Published: 30/09/2016
- Not available
Easily analyze big data with frameworks such as Hadoop, Hive, Presto, and Spark About This Book * Over 200 hands-on recipes to help you efficiently administer, design, and optimize large-scale Apache Cassandra Clusters * From a seasoned author, learn how to set up, use, and troubleshoot globally distributed large-scale databases * This book will help you create efficient data models and access patterns Who This Book Is For This book is for those who want to know how to set up, administer, and optimize large-scale Cassandra clusters. If you have never used a Cassandra before, then this book will bring you up to speed with the use cases of No SQL and eventual consistency model. For more experienced users, the book provides that will show to better design your existing applications and tune the Cassandra cluster to get the best performance and availability. What you will learn * Design and set up a Cassandra cluster in single and multiple data center environments * Interact with Cassandra using the versatile and powerful command line CQLSH * Write programs to access data in Cassandra * Tune a Cassandra cluster and your programs to get the best performance * Get to know how to model data to optimize storage and access * Perform big data analytics using Cassandra with Hadoop, Spark, and Presto In Detail Apache Cassandra is a fault-tolerant, distributed data store, which offers linear scalability allowing it to be a storage platform for large high volume websites. It's master less and symmetric architecture provides easy scalability and high availability. Using the tuneable consistency the same Cassandra cluster can satisfy a variety of application requirements, for example very high availability and guaranteed consistency. This book provides detailed recipes starting from how to set up a single node Cassandra cluster to more complex installations involving multiple nodes and multiple datacentres. The recipes provide a detailed and hands-on introduction to the CQL language through the CQL shell and introduces the Java and Python drivers for API access. The book provides detailed coverage on how to tune Cassandra to get the best performance and explains the tuneable consistency, availability, and partition tolerance through working example code snippets. The recipes demonstrate how to design a data model and schema to solve a variety of application requirements. This book introduces how to use Cassandra with big data analytics frameworks such as Hadoop and Spark. A significant portion of the book deals with recipes on administering, monitoring, and automating operations tasks to run a large-scale multi datacentre Cassandra cluster.
Publisher: Packt Publishing Limited
Number of pages: 332
Dimensions: 235 x 191 mm
Edition: 2nd edition
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