- Practical Real-time Data Processing and Analytics
- Shilpi Saxena Saurabh Gupta
- 139字
- 2021-07-08 10:23:03
Preface
This book will have basic to advanced recipes on real-time computing. We will cover technologies such as Flink, Spark and Storm. The book includes practical recipes to help you to process unbounded streams of data, thus doing for real-time processing what Hadoop did for batch processing. You will begin with setting up the development environment and proceed to implement stream processing. This will be followed by recipes on real-time problems using Rabbit-MQ, Kafka, and Nifi along with Storm, Spark, Flink, Beam, and more. By the end of this book, you will have gained a thorough understanding of the fundamentals of NRT and its applications, and be able to identify and apply those fundamentals to any suitable problem.
This book is written in a cookbook style, with plenty of practical recipes, well-explained code examples, and relevant screenshots and diagrams.
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