Fundamentals of Apache Flink
Learn data processing using Apache Flink
Created by Sridhar Alla
Explore Apache Flink from the ground up, starting with core concepts and terminology before diving into setting up your own Flink environment. Learn to process both batch and streaming data, and discover how to use Flink APIs for event processing and machine learning tasks.
Packt | Oct 2019 | 194 min
What You Will Learn
You will get hands-on experience by setting up Flink, running practical exercises, and following along with demos. Each concept is reinforced through interactive activities that let you apply what you learn in a real Flink environment, helping you build confidence and technical skill as you progress.
Key Features
- Set up and manage a Flink environment for scalable data processing
- Work with Flink APIs to handle both batch and streaming data workflows
- Build pipelines for real-time analytics and integrate processed data with other systems
Target Audience
Designed for big data developers who want to process batch and real-time data on distributed systems. If you have a basic understanding of Hadoop and big data concepts, plus working knowledge of Java or Scala, you will be well prepared to deepen your skills and tackle complex data processing challenges.
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