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Real-time Analytics with Storm and Cassandra

You're reading from  Real-time Analytics with Storm and Cassandra

Product type Book
Published in Mar 2015
Publisher
ISBN-13 9781784395490
Pages 220 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Shilpi Saxena Shilpi Saxena
Profile icon Shilpi Saxena
LinkedIn
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

Table of Contents (19) Chapters

Real-time Analytics with Storm and Cassandra
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Let's Understand Storm 2. Getting Started with Your First Topology 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 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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Real-time Analytics with Storm and Cassandra
Published in: Mar 2015 Publisher: ISBN-13: 9781784395490
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Authors (1)

Profile icon Shilpi Saxena
LinkedIn
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.
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See other products by Shilpi Saxena

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