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Loop through a list using pySpark for your Azure Synapse Pipelines

In this video tutorial, Patrick demonstrates how to loop through files using pySpark, specifically within the context of Azure Synapse Analytics Pipelines and Notebooks. If you're utilizing Synapse for your data pipeline needs but are unfamiliar with pySpark, this tutorial is an excellent starting point. Follow along as Patrick walks you through the process, highlighting some key considerations and best practices regarding pySpark implementation.

Whether you're working with a small collection of files or managing enormous datasets, pySpark is a powerful tool within the Synapse arsenal that offers immense flexibility. By the end of this tutorial, you'll have the knowledge necessary to leverage this tool to build blazing-fast, efficient data pipelines perfectly tailored to your specific use case.

Tune in to the video to see pySpark in action and get started today!

Link to the video: https://www.youtube.com/watch?v=ldTeS-yxpSE

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Guy in a Cube
Guy in a Cube

Guy in a Cube is all about helping you master business analytics on the Microsoft Business analytics stack to allow you to drive business growth. We are just...

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