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Learning Real-time Analytics with Storm and Cassandra

You're reading from Learning Real-time Analytics with Storm and Cassandra Solve real-time analytics problems effectively using Storm and Cassandra

Product type Paperback

Published in Mar 2015

Publisher

ISBN-13 9781784395490

Length 220 pages

Edition 1st Edition

Languages

Java

Tools

Storm

Concepts

Data Processing

Author (1):

Shilpi Saxena

View More author details

Table of Contents (14) Chapters

Preface

1. Let's Understand Storm

2. Getting Started with Your First Topology FREE CHAPTER

3. Understanding Storm Internals by Examples

4. Storm in a Clustered Mode

5. Storm High Availability and Failover

6. Adding NoSQL Persistence to Storm

7. Cassandra Partitioning, High Availability, and Consistency

8. Cassandra Management and Maintenance

9. Storm Management and Maintenance

10. Advance Concepts in Storm

11. Distributed Cache and CEP with Storm

A. Quiz Answers

Index

Chapter 4. Storm in a Clustered Mode

We have now arrived at the next step in our journey with Storm, that is, to understand the clustered mode setup of Storm and its associated components. We will go through the various configurations in Storm and Zookeeper, and understand the concepts behind them.

The topics that will be covered in this chapter are as follows:

Setting up the Storm cluster
Understanding the configuration of the cluster and its impact on the functioning of the system
The Storm UI and understanding the UI parameters
Provisioning and monitoring applications for production setups

By the end of the chapter, you should be able to understand configurations of Storm and Zookeeper nodes. Also, you should be able to understand the Storm UI and set up Storm clusters and monitor them using various tools.

The rest of the chapter is locked

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Authors (1)

Shilpi Saxena

Shilpi Saxena

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 (https://www.packtpub.com/big-data-and-business-intelligence/learning-real-time-analytics-storm-and-cassandra) with Packt Publishing.

See other products by Shilpi Saxena

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