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Fundamentals of Apache Flink

Fundamentals of Apache Flink
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Use Apache Flink and its ecosystem to process real-time big data
Build your own Flink development environment on a Linux server
Monitor your stream processing in real-time using the Flink UI
Organize your data comprehensively using data processing pipelines
Build end-to-end, real-time analytics projects
Design a distributed Flink environment to efficiently process, transform, and aggregate your data
Have you heard of Apache Flink, but don’t know how to use it to get on top of big data? Have you used Flink, but want to learn how to set it up and use it properly? Either way, this course is for you.
This course first introduces Flink concepts and terminology, and then moves on to building a Flink instance, collecting data, and using that data to generate output that can be used as processed data input into other systems. You will also use the Flink APIs to process data in batch and streaming modes.
By the end of the course, you will be capable of using the Apache Flink ecosystem to achieve complex tasks such as event processing and machine learning.
The code files for this course are available at –


Hands-on examples to help you build and administer a Flink ecosystem
Gain insights into how all Apache Flink features-such as building your own Flink environment, importing data, and ultimately using it-work
Exploit Apache Flink's capabilities (such as distributed data streaming and pipelining) to improve performance

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