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Practical Real-time Data Processing and Analytics

You're reading from   Practical Real-time Data Processing and Analytics Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781787281202
Length 360 pages
Edition 1st Edition
Languages
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Authors (2):
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Shilpi Saxena Shilpi Saxena
Author Profile Icon Shilpi Saxena
Shilpi Saxena
Saurabh Gupta Saurabh Gupta
Author Profile Icon Saurabh Gupta
Saurabh Gupta
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Table of Contents (14) Chapters Close

Preface 1. Introducing Real-Time Analytics FREE CHAPTER 2. Real Time Applications – The Basic Ingredients 3. Understanding and Tailing Data Streams 4. Setting up the Infrastructure for Storm 5. Configuring Apache Spark and Flink 6. Integrating Storm with a Data Source 7. From Storm to Sink 8. Storm Trident 9. Working with Spark 10. Working with Spark Operations 11. Spark Streaming 12. Working with Apache Flink 13. Case Study

Preface

This book will have basic to advanced recipes on real-time computing. We will cover technologies such as Flink, Spark and Storm. The book includes practical recipes to help you to process unbounded streams of data, thus doing for real-time processing what Hadoop did for batch processing. You will begin with setting up the development environment and proceed to implement stream processing. This will be followed by recipes on real-time problems using Rabbit-MQ, Kafka, and Nifi along with Storm, Spark, Flink, Beam, and more. By the end of this book, you will have gained a thorough understanding of the fundamentals of NRT and its applications, and be able to identify and apply those fundamentals to any suitable problem.

This book is written in a cookbook style, with plenty of practical recipes, well-explained code examples, and relevant screenshots and diagrams.

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