Transform data using Spark in Synapse Analytics

DP-203-Labs-06

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.

Use a Spark notebook to transform data

Transform data by using Spark