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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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Toc

Table of Contents (14) Chapters Close

Preface 1. Let's Understand Storm FREE CHAPTER 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 A. Quiz Answers Index

Quiz time

Q.1 State whether the following statements are true or false:

  1. All components of reliable topologies use anchoring.
  2. In the event of a failure, all the tuples are played back again.
  3. Shuffle grouping does load balancing.
  4. Global grouping is like a broadcaster.

Q.2 Fill in the blanks:

  1. _______________ is the method to tell the framework that the tuple has been successfully processed.
  2. The _______________ method specifies the name of the stream.
  3. The ___________ method is used to push the tuple downstream in the DAG.

Make changes to WordCount topology of the Storm-starter project to create a custom grouping so that all words starting from a particular letter always go to same instance of the WordCount bolt.

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