Getting Started with Stream Processing Using Apache Flink

Category Other
Type Tutorials
Language English
Total size 380.9 MB
Uploaded By freezedude

Downloads 311
Last checked 1 week ago
Date uploaded 8 years ago
Seeders 0
Leechers 4

Infohash : 9C200A0B2A929B555B7E3AD10825FCB0FE7B5C35

Details:

Apache Flink is a distributed computing engine used to process large scale data. Flink is built on the concept of stream-first architecture where the stream is the source of truth. This course, Getting Started with Stream Processing Using Apache Flink, walks the users through exploratory data analysis and data munging with Flink.

You’ll start off learning about simple data transformations on streams such as map(), filter(), flatMap(), reduce(), sum(), min(), and max() on simple DataStreams and KeyedStreams. You’ll then learn about window transformations in detail using tumbling, sliding, count, and session windows. You’ll wrap up the course explore operations on multiple streams such as union and joins. All of this with hands on demos using Flink’s Java API along with a real world project using Twitter’s streaming API. After you’ve watched this course you’ll have a strong foundation for stream processing concepts using Apache Flink.

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