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I have a project where I need to stream data in real time. I've written the instream data to a kafka topic. Now I need to read this data and process it. For this, I plan to use Flink.
My dilemma is that I do not know either Java, Scala or Kotlin. I would have to learn one of them to use Flink and since Kotlin is the latest of the lot, I thought I should learn that, but is it actually compatible with Flink?
I am completely new to any sort of data streaming so please pardon any mistakes in my question and definitely correct me if I am wrong.
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Flink applications are fault-tolerant in the event of machine failure and support exactly-once semantics. Programs can be written in Java, Scala, Python, and SQL and are automatically compiled and optimized into dataflow programs that are executed in a cluster or cloud environment.
Flink is a distributed processing engine and a scalable data analytics framework. You can use Flink to process data streams at a large scale and to deliver real-time analytical insights about your processed data with your streaming application.
Flink capabilities enable real-time insights from streaming data and event-based capabilities. Flink enables real-time data analytics on streaming data and fits well for continuous Extract-transform-load (ETL) pipelines on streaming data and for event-driven applications as well.
Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams.
The short answer is that you can use any JVM language to interact with Flink: java, kotlin, scala (and probably even something like groovy).
That said, you would probably have some issues finding answers to questions. Flink officially supports scala and java so I would start with either of those two.
Lastly, kotlin being the latest has nothing to do with how good it is. People are using all three successfully. This is mostly a matter of preference (unless you have some special use case).
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