Spark SQL - Windowing Functions - Introduction

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As part of this session, we will see advanced operations such as aggregations, ranking, and windowing functions within each group using clauses such as OVER, PARTITION BY etc. We will also build a solution to the problem and run it on a multinode cluster.

* Window Functions – Overview
* Problem Statement – Get top n products per day
* Performing Aggregations
* Using Windowing Functions
* Ranking Functions
* Development Life Cycle

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