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Practical Real-time Data Processing and Analytics
Practical Real-time Data Processing and Analytics

Practical Real-time Data Processing and Analytics: Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka

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Profile Icon Shilpi Saxena Profile Icon Saurabh Gupta
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€28.99 €32.99
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1 (1 Ratings)
eBook Sep 2017 360 pages 1st Edition
eBook
€28.99 €32.99
Paperback
€41.99
Subscription
Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Shilpi Saxena Profile Icon Saurabh Gupta
Arrow right icon
€28.99 €32.99
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1 (1 Ratings)
eBook Sep 2017 360 pages 1st Edition
eBook
€28.99 €32.99
Paperback
€41.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€28.99 €32.99
Paperback
€41.99
Subscription
Free Trial
Renews at €18.99p/m

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Practical Real-time Data Processing and Analytics

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Key benefits

  • • Learn about the various challenges in real-time data processing and use the right tools to overcome them
  • • This book covers popular tools and frameworks such as Spark, Flink, and Apache Storm to solve all your distributed processing problems
  • • A practical guide filled with examples, tips, and tricks to help you perform efficient Big Data processing in real-time

Description

With the rise of Big Data, there is an increasing need to process large amounts of data continuously, with a shorter turnaround time. Real-time data processing involves continuous input, processing and output of data, with the condition that the time required for processing is as short as possible. This book covers the majority of the existing and evolving open source technology stack for real-time processing and analytics. You will get to know about all the real-time solution aspects, from the source to the presentation to persistence. Through this practical book, you’ll be equipped with a clear understanding of how to solve challenges on your own. We’ll cover topics such as how to set up components, basic executions, integrations, advanced use cases, alerts, and monitoring. You’ll be exposed to the popular tools used in real-time processing today such as Apache Spark, Apache Flink, and Storm. Finally, you will put your knowledge to practical use by implementing all of the techniques in the form of a practical, real-world use case. By the end of this book, you will have a solid understanding of all the aspects of real-time data processing and analytics, and will know how to deploy the solutions in production environments in the best possible manner.

Who is this book for?

If you are a Java developer who would like to be equipped with all the tools required to devise an end-to-end practical solution on real-time data streaming, then this book is for you. Basic knowledge of real-time processing would be helpful, and knowing the fundamentals of Maven, Shell, and Eclipse would be great.

What you will learn

  • • Get an introduction to the established real-time stack
  • • Understand the key integration of all the components
  • • Get a thorough understanding of the basic building blocks for real-time solution designing
  • • Garnish the search and visualization aspects for your real-time solution
  • • Get conceptually and practically acquainted with real-time analytics
  • • Be well equipped to apply the knowledge and create your own solutions

Product Details

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Publication date : Sep 28, 2017
Length: 360 pages
Edition : 1st
Language : English
ISBN-13 : 9781787289864
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Product Details

Publication date : Sep 28, 2017
Length: 360 pages
Edition : 1st
Language : English
ISBN-13 : 9781787289864
Category :
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Table of Contents

13 Chapters
Introducing Real-Time Analytics Chevron down icon Chevron up icon
Real Time Applications – The Basic Ingredients Chevron down icon Chevron up icon
Understanding and Tailing Data Streams Chevron down icon Chevron up icon
Setting up the Infrastructure for Storm Chevron down icon Chevron up icon
Configuring Apache Spark and Flink Chevron down icon Chevron up icon
Integrating Storm with a Data Source Chevron down icon Chevron up icon
From Storm to Sink Chevron down icon Chevron up icon
Storm Trident Chevron down icon Chevron up icon
Working with Spark Chevron down icon Chevron up icon
Working with Spark Operations Chevron down icon Chevron up icon
Spark Streaming Chevron down icon Chevron up icon
Working with Apache Flink Chevron down icon Chevron up icon
Case Study Chevron down icon Chevron up icon

Customer reviews

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1 star 100%
Annyman Jun 12, 2018
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One of the worst books written on Real Time analytics. It has only architecture diagrams and long codes. The codes are not readable and the flow in the book is absolutely bad.
Amazon Verified review Amazon
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