Solve real-time analytics problems effectively using Storm and Cassandra
Create your own data processing topology and implement it in various real-time scenarios using Storm and Cassandra Build highly available and linearly scalable applications using Storm and Cassandra that will process voluminous data at lightning speed A pragmatic and example-oriented guide to implement various applications built with Storm and Cassandra
Who This Book Is For
If you want to efficiently use Storm and Cassandra together and excel at developing production-grade, distributed real-time applications, then this book is for you. No prior knowledge of using Storm and Cassandra together is necessary. However, a background in Java is expected.
What You Will Learn Integrate Storm applications with RabbitMQ for real-time analysis and processing of messages Monitor highly distributed applications using Nagios Integrate the Cassandra data store with Storm Develop and maintain distributed Storm applications in conjunction with Cassandra and In Memory Database (memcache) Build a Trident topology that enables real-time computing with Storm Tune performance for Storm topologies based on the SLA and requirements of the application Use Esper with the Storm framework for rapid development of applications In Detail
Real-time Analytics with Storm and Cassandra will teach you how to use Storm for real-time data processing and to make your applications highly available with no downtime using Cassandra.
The book starts off with the basics of Storm and its components along with setting up the environment for the execution of a Storm topology in local and distributed mode. Moving on, you will explore the Storm and Zookeeper configurations, understand the Storm UI, set up Storm clusters, and monitor Storm clusters using various tools. You will then add NoSQL persistence to Storm and set up a Cassandra cluster. You will do all this while being guided by the best practices for Storm and Cassandra applications. Next, you will learn about data partitioning and consistent hashing in Cassandra through examples and also see high availability features and replication in Cassandra. Finally, you’ll learn about different methods that you can use to manage and maintain Cassandra and Storm.
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