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Real-time Analytics with Storm and Cassandra
Credits
About the Author
About the Reviewers
www.PacktPub.com
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Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Chapter 1. Let's Understand Storm
Distributed computing problems
Solutions for complex distributed use cases
A high-level view of various components of Storm
Delving into the internals of Storm
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Summary
Chapter 2. Getting Started with Your First Topology
Prerequisites for setting up Storm
Components of a Storm topology
Executing a sample Storm topology – local mode
Executing the topology in the distributed mode
Executing the topology from Command Prompt
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Summary
Chapter 3. Understanding Storm Internals by Examples
Customizing Storm spouts
Anchoring and acking
Stream groupings
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Chapter 4. Storm in a Clustered Mode
The Storm cluster setup
Zookeeper configurations
Storm configurations
Storm monitoring tools
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Chapter 5. Storm High Availability and Failover
An overview of RabbitMQ
Installing the RabbitMQ cluster
Integrating Storm with RabbitMQ
Building high availability of components
The Storm isolation scheduler
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Chapter 6. Adding NoSQL Persistence to Storm
The advantages of Cassandra
Columnar database fundamentals
Setting up the Cassandra cluster
Multiple data centers
Introduction to CQLSH
Introduction to CLI
Using different client APIs to access Cassandra
Storm topology wired to the Cassandra store
The best practices for Storm/Cassandra applications
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Chapter 7. Cassandra Partitioning High Availability and Consistency
Consistent hashing
Replication in Cassandra and strategies
Cassandra consistency
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Chapter 8. Cassandra Management and Maintenance
Cassandra – gossip protocol
Cassandra cluster scaling – adding a new node
Cassandra cluster – replacing a dead node
The replication factor
The nodetool commands
Cassandra fault tolerance
Cassandra monitoring systems
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Chapter 9. Storm Management and Maintenance
Scaling the Storm cluster – adding new supervisor nodes
Scaling the Storm cluster and rebalancing the topology
Setting up workers and parallelism to enhance processing
Storm troubleshooting
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Chapter 10. Advance Concepts in Storm
Building a Trident topology
Understanding the Trident API
Examples and illustrations
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Chapter 11. Distributed Cache and CEP with Storm
The need for distributed caching in Storm
Introduction to memcached
Introduction to the complex event processing engine
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Appendix A. Quiz Answers
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Chapter 8
Chapter 9
Chapter 10
Chapter 11
Index
更新时间：2021-07-23 19:52:28
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