Apache Flink- Real-Time Data Engineering Free Download
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Apache Flink- Real-Time Data Engineering 1

 Apache Flink- Real-Time Data Engineering   Free Tutorial Download

From an engineering perspective, scalability is one of the most pressing challenges in data science. Apache Flink, the powerful and popular stream-processing platform, offers features and functionality that can help developers tackle this challenge. In this course, learn how to build a real-time stream processing pipeline with Apache Flink. Instructor Kumaran Ponnambalam begins by reviewing key streaming concepts and features of Apache Flink. He then takes a deeper look at the DataStream API and explores various capabilities available for real-time stream processing, including windowing and joins. After delving into the platform’s event-time processing and state management features, he provides a use case project that allows you to put your new skills to the test.

Topics include:

  • Streaming with Apache Flink
  • Using the DataStream API for basic stream processing
  • Working with process functions
  • Windowing and joins
  • Setting up event-time processing
  • State management in Flink


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