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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 (20) Chapters Close

Title Page
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
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

Introduction


We will discuss and implement a Geofencing use case as a case study. Geofencing is the use of the Global Positioning System (GPS) satellite network and/or local radio-frequency identifiers (such as WiFi nodes or Bluetooth beacons) to create virtual boundaries around a location. Geofencing is paired with software/hardware to detect the virtual boundary and take the appropriate action defined by the user. Most of the Geofencing use cases are solved with IOT. Real-time use cases based on Geofencing are:

  • Suppose your children took your car to buy goods from the market and you don't want them to go beyond 5 KM/Miles from your home or you want to know your kids/other family member's location on a map to track them
  • When you have put your car in for servicing and you want it not to go beyond 1 KM/Miles from the car service center
  • When you are approaching home, the garage gate opens automatically without having to get out of the car and manually open it by pushing/pulling it
  • When you are...
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