As part of this session we will see advanced operations such as aggregations, ranking and windowing functions with in each group using APIs such as over, partitionBy etc. We will also build a solution for problem and run it on multinode cluster.
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Full Playlist of Apache Spark 2: • Apache Spark 2 using Python 3
Aggregations, Ranking and Windowing Functions - APIs
Problem Statement - Get top n products per day
Creating Window Spec
Performing aggregations
Using windowing functions
Ranking with in each partition or group
Execute the solution on the cluster
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