Apache Flink: Real-Time Data Engineering
With Kumaran Ponnambalam
Liked by 153 users
Duration: 1h 11m
Skill level: Advanced
Released: 2/20/2020
Course details
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.
Skills you’ll gain
Meet the instructor
Learner reviews
Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
Similar courses
Download courses
Use your iOS or Android LinkedIn Learning app, and watch courses on your mobile device without an internet connection.