Data engineers often use Spark notebooks as one of their preferred tools to perform extract, transform, and load (ETL) or extract, load, and transform (ELT) activities that transform data from one format or structure to another.
In this exercise, you'll use a Spark notebook in Azure Synapse Analytics to transform data in files.
Before you start
You'll need an Azure subscription in which you have administrative-level access.
Review the Apache Spark in Azure Synapse Analytics Core Concepts article in the Azure Synapse Analytics documentation.
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