Apache Flink: Real-Time Data Engineering
With Kumaran Ponnambalam
Liked by 166 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
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Khaled M. Ali Aklan Albanna
Khaled M. Ali Aklan Albanna
IT Advisor | AI (Expert Systems & Data Science) | Banking and ERP Systems
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Chandan kumar
Chandan kumar
🚀 TECH LEAD @ ACS | 10+ Years Crafting Scalable Solutions with Java, Angular, Node.js & AWS 🌟
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Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
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