Real-time Analytics with Storm and Cassandra

More Information
  • 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

This book 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.

  • 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
Page Count 220
Course Length 6 hours 36 minutes
ISBN 9781784395490
Date Of Publication 27 Mar 2015



Shilpi Saxena is an IT professional and also a technology evangelist. She is an engineer who has had exposure to various domains (machine to machine space, healthcare, telecom, hiring, and manufacturing). She has experience in all the aspects of conception and execution of enterprise solutions. She has been architecting, managing, and delivering solutions in the Big Data space for the last 3 years; she also handles a high-performance and geographically-distributed team of elite engineers.

Shilpi has more than 12 years (3 years in the Big Data space) of experience in the development and execution of various facets of enterprise solutions both in the products and services dimensions of the software industry. An engineer by degree and profession, she has worn varied hats, such as developer, technical leader, product owner, tech manager, and so on, and she has seen all the flavors that the industry has to offer. She has architected and worked through some of the pioneers' production implementations in Big Data on Storm and Impala with autoscaling in AWS.

Shilpi has also authored Real-time Analytics with Storm and Cassandra ( with Packt Publishing.