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Mastering Apache Storm

You're reading from   Mastering Apache Storm Real-time big data streaming using Kafka, Hbase and Redis

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Product type Paperback
Published in Aug 2017
Publisher
ISBN-13 9781787125636
Length 284 pages
Edition 1st Edition
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Author (1):
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Ankit Jain Ankit Jain
Author Profile Icon Ankit Jain
Ankit Jain
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Toc

Table of Contents (13) Chapters Close

Preface 1. Real-Time Processing and Storm Introduction FREE CHAPTER 2. Storm Deployment, Topology Development, and Topology Options 3. Storm Parallelism and Data Partitioning 4. Trident Introduction 5. Trident Topology and Uses 6. Storm Scheduler 7. Monitoring of Storm Cluster 8. Integration of Storm and Kafka 9. Storm and Hadoop Integration 10. Storm Integration with Redis, Elasticsearch, and HBase 11. Apache Log Processing with Storm 12. Twitter Tweet Collection and Machine Learning

Integration of Storm and Kafka

Apache Kafka is a high-throughput, distributed, fault-tolerant, and replicated messaging system that was first developed at LinkedIn. The use cases of Kafka vary from log aggregation, to stream processing, to replacing other messaging systems.

Kafka has emerged as one of the important components of real-time processing pipelines in combination with Storm. Kafka can act as a buffer or feeder for messages that need to be processed by Storm. Kafka can also be used as the output sink for results emitted from Storm topologies.

In this chapter, we will be covering the following topics:

  • Kafka architecture--broker, producer, and consumer
  • Installation of the Kafka cluster
  • Sharing the producer and consumer between Kafka
  • Development of Storm topology using Kafka consumer as Storm spout
  • Deployment of a Kafka and Storm integration topology
...
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