Structured Streaming: What is it?

Knoldus Blogs

spark-logo-croppedWith the advent of streaming frameworks like Spark Streaming, Flink, Storm etc. developers stopped worrying about issues related to a streaming application, like – Fault Tolerance, i.e., zero data loss, Real-time processing of data, etc. and started focussing only on solving business challenges. The reason is, the frameworks (the ones mentioned above) provided inbuilt support for all of them. For example:

In Spark Streaming, by just adding checkpoint directory path, like it is done in below code snippet, recovery from failure(s) became easy.

And in Flink, we just have to enable checkpointing in the execution environment, like it is done in below code snippet.

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About Himanshu Gupta

Himanshu Gupta is a lead consultant having more than 4 years of experience. He is always keen to learn new technologies. He not only likes programming languages but Data Analytics too. He has sound knowledge of "Machine Learning" and "Pattern Recognition".He believes that best result comes when everyone works as a team. He likes listening to Coding ,music, watch movies, and read science fiction books in his free time.
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