Practical Real-time Data Processing and Analytics
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.
Offered by
Difficulty Level
Intermediate
Completion Time
12h
Language
English
About Book
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.
Practical Real-time Data Processing and Analytics
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h total length
Introducing Real time Analytics
Real time application: The basic ingredients
Understanding and tailing data streams
Setting up infrastructure for Storm
Configuring Apache Spark & Flink
Integration of Source with Storm
From Storm to sink
Storm Trident
Working with Spark
Spark streaming
Working with Apache Flink
Monitoring and alerts
Case Study 1
Related Resources
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