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Apache Flink with Scala course. Learn to master real-time data streaming with the Apache Flink with Scala course, one of the most powerful libraries for stateful data processing. Learn how to manage millions of events efficiently and effectively and improve your big data skills. This Flink course is designed for developers who want to gain hands-on expertise with Apache Flink and unlock the full potential of real-time data processing. By the end of this course, you will not only know how to build streaming applications with Flink, but also understand the underlying mechanisms and best practices that make Flink so powerful for handling large-scale data streams. You’ll learn everything you need to confidently navigate the Flink ecosystem, from configuring the Flink environment to deploying, scaling, and troubleshooting applications in production. After this course, you will be able to process data in any way you need using Flink. But most importantly, you’ll develop lasting skills that will carry you throughout your career, regardless of which data stream processing tool you end up using:
A comprehensive understanding of the practical benefits of data flow in general
Ability to work with event time and processing time
Implicit understanding of the implications and trade-offs of choosing latency versus throughput
Understanding the need for data stability and stability
What you will learn
All the skills needed to use Flink effectively
A thorough understanding of the Flink stream processing engine and how it works
Using functional programming on data streams
Processing any type of data in real time and on a large scale
Mastery of complex transformations such as window functions
The ability to perform stateful computations is Flink’s main strength
Learn how to connect Flink to the most popular message buses, data streaming and data storage systems
Ability to design your own connectors
Ability to deploy Flink applications in a cluster
Ability to troubleshoot and find relevant information in the Flink user interface
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