Practical Real-time Data Processing and Analytics

Practical Real-time Data Processing and Analytics by Shilpi Saxena
English | 10 Oct. 2017 | ISBN: 1787281205 | ASIN: B01N6QJIQA | 360 Pages | AZW3 | 7.71 MB

Key Features

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 Apache Storm, Spark, and Flink 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

Book Description

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.

What you will learn

Get an introduction to the established real-time stack including Storm, Spark, Flink, and more
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

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