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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

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Product type Paperback
Published in Mar 2015
Publisher
ISBN-13 9781784395490
Length 220 pages
Edition 1st Edition
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Author (1):
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Shilpi Saxena Shilpi Saxena
Author Profile Icon Shilpi Saxena
Shilpi Saxena
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Table of Contents (14) Chapters Close

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 1. Let's Understand Storm

In this chapter, you will be acquainted with the problems requiring distributed computed solutions and get to know how complex it could get to create and manage such solutions. We will look at the options available to solve distributed computation.

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

  • Getting acquainted with a few problems that require distributed computing solutions
  • The complexity of existing solutions
  • Technologies offering real-time distributed computing
  • A high-level view of the various components of Storm
  • A quick peek into the internals of Storm

By the end of the chapter, you will be able to understand the real-time scenarios and applications of Apache Storm. You should be aware of solutions available in the market and reasons as to why Storm is still the best open source choice.

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