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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

Introducing Real-Time Analytics

This chapter sets the context for the reader by providing an overview of the big data technology landscape in general and real–time analytics in particular. This provides an outline for the book conceptually, with an attempt to ignite the spark for inquisitiveness that will encourage readers to undertake the rest of the journey through the book.

The following topics will be covered:

  • What is big data?
  • Big data infrastructure
  • Real–time analytics – the myth and the reality
  • Near real–time solution – an architecture that works
  • Analytics – a plethora of possibilities
  • IOT – thoughts and possibilities
  • Cloud – considerations for NRT and IOT
You have been reading a chapter from
Practical Real-time Data Processing and Analytics
Published in: Sep 2017
Publisher: Packt
ISBN-13: 9781787281202
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