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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 (19) Chapters Close

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 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 Quiz Answers Index

Quiz time


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

  1. All Storm topologies are reliable.

  2. A topology generally has multiple spouts.

  3. A topology generally has multiple bolts.

  4. One bolt can emit on only one stream.

Q.2. Fill in the blanks:

  1. _______________ is the template to create the topology.

  2. _______________ specifies how many instances of a particular bolt or spout are spawned.

  3. The ___________ daemon of Storm is analogous to the job tracker of Hadoop.

Q.3. Perform the following task:

  1. Make changes to the WordCount topology of the Storm-starter project to RandomSentenceSpout so that it's able to read sentences from a file at a specified location.

You have been reading a chapter from
Learning Real-time Analytics with Storm and Cassandra
Published in: Mar 2015
Publisher:
ISBN-13: 9781784395490
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