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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
Author (1):
Shilpi Saxena Shilpi Saxena
Profile icon Shilpi Saxena
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 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. Cassandra has a default consistency of ALL.

  2. QUORUM is the consistency level that provides the highest availability.

  3. Cassandra uses a snitch to identify the closeness of the nodes.

  4. Cassandra reads and writes features have consistency level 1 by default.

Q.2. Fill in the blanks:

  1. _______________ is used to determine the physical closeness of the nodes.

  2. _______________ is the consistency that provides the highest availability and lowest availability.

  3. The ___________ is the service that ensures that a node, which has been down for a while, is correctly updated with the latest changes.

Q.3. Execute the following use case to see Cassandra high availability and replications:

  1. Create a four-node Cassandra cluster.

  2. Create a keyspace with a replication factor of 3.

  3. Add some data into a column family under this keyspace.

  4. Attempt to retrieve data using read consistency with using ALL in select query.

  5. Shut down the Cassandra daemon on one node...

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