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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 (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 sentences are true or false:

  1. AMQP is a STOMP protocol.

  2. RabbitMQ is not fail-safe.

  3. An AMQP client is required to publish to RabbitMQ.

  4. A mirrored queue can recover from the failure of nodes in a cluster.

Q.2 Fill in the blanks:

  1. _______________ is the exchange where messages are delivered based on the routing key.

  2. _______________ is the exchange where messages are broadcasted.

  3. The ___________ is an implementation of the Storm spout on the AMQP consumer protocol.

Q.3 Execute the WordCount topology on a three node Storm cluster (one nimbus and two supervisor nodes) clubbed with a two node RabbitMQ cluster:

  • Try out various failure scenarios mentioned in the Building high availability of components section

  • Induce an artificial delay in message processing to calibrate the guaranteed processing of the Storm topology

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