| Playing Time |
01h:11m:10s |
| Description |
data file rda |
| Note |
2/20/202012:00:00AM |
| Summary |
Discover how to build a real-time stream processing pipeline with Apache Fink. Learn about the platform's windowing, event-time processing, and state management features. |
| Cast |
Presenter: Kumaran Ponnambalam |
| Summary |
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. |
| System Details |
Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection. |
| Added Author |
linkedin.com (Firm)
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