Streaming Data

Understanding the real-time pipeline

Author: Andrew Psaltis

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9781617292286
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Summary

Streaming Data introduces the concepts and requirements of streaming and real-time data systems. The book is an idea-rich tutorial that teaches you to think about how to efficiently interact with fast-flowing data.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

As humans, we're constantly filtering and deciphering the information streaming toward us. In the same way, streaming data applications can accomplish amazing tasks like reading live location data to recommend nearby services, tracking faults with machinery in real time, and sending digital receipts before your customers leave the shop. Recent advances in streaming data technology and techniques make it possible for any developer to build these applications if they have the right mindset. This book will let you join them.

About the Book

Streaming Data is an idea-rich tutorial that teaches you to think about efficiently interacting with fast-flowing data. Through relevant examples and illustrated use cases, you'll explore designs for applications that read, analyze, share, and store streaming data. Along the way, you'll discover the roles of key technologies like Spark, Storm, Kafka, Flink, RabbitMQ, and more. This book offers the perfect balance between big-picture thinking and implementation details.

What's Inside

  • The right way to collect real-time data
  • Architecting a streaming pipeline
  • Analyzing the data
  • Which technologies to use and when

About the Reader

Written for developers familiar with relational database concepts. No experience with streaming or real-time applications required.

Table of Contents

  1. PART 1 - A NEW HOLISTIC APPROACH

  2. Introducing streaming data
  3. Getting data from clients: data ingestion
  4. Transporting the data from collection tier: decoupling the data pipeline
  5. Analyzing streaming data
  6. Algorithms for data analysis
  7. Storing the analyzed or collected data
  8. Making the data available
  9. Consumer device capabilities and limitations accessing the data
  10. PART 2 - TAKING IT REAL WORLD

  11. Analyzing Meetup RSVPs in real time

About the Author

Andrew Psaltis is a software engineer and architect focused full time on building massively scalable real-time analytics systems using Spark, Kafka, Storm, Hadoop, and WebSockets.

Author
Andrew Psaltis
Binding
Paperback
Condition Type
New
Country Origin
USA
Edition
1
Gift Wrap
Yes
Leadtime to ship in days (default)
Usually ships in 25-30 days
Page
216
Publisher
Manning Publications
Year
2017
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