PySpark 2.x : 150 Questions added

PySpark : Structured Streaming Training with HandsOn

Check Syllabus : PySpark Structured Streaming Hands On Sessions

PySpark : Structured Streaming : To process the real-time or near real-time data, there are lots of engine/solutions are available. And each of them has some issues like they don’t support late data processing, they are highly complex to setup, complex programming API etc. Yes, writing streaming solution either framework provider has to take a pain and make it easy for developer/user. Or developer has to take a pain to implement correctly. In case of Spark, the previous solution was Dstream, Spark team had provided a framework which work on RDD, for writing streaming solution. And in this case developer/user has to take pain and implement complex solution. However, Spark team realizes it and they decided to write entire streaming solution from scratch. And the outcome of this is Structured Streaming, which has simple API and performance optimization taken care by the SparkSQL engine.

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