Practical Real-time Data Processing and Analytics

A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario

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 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

Book Description

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

Who this book is 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.