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Azure Data Engineer Associate Certification Guide - Second Edition
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This section covers the implementation and use of Apache Spark in Azure Synapse Analytics for data transformation, to handle large-scale data processing tasks efficiently. You will learn how to manage Spark pools and manipulate data with DataFrames and datasets, explore and manipulate data (including selecting, filtering, and aggregating data and optimizing Spark jobs for efficient execution plans), and review the integration of Spark with Azure services and data workload management for the scalability and reliability of data processing pipelines.
Note
This section primarily focuses on the Transform data by using Apache Spark concept of the DP-203: Data Engineering on Microsoft Azure exam.
The information in this section applies to the following flavors of Spark available on Azure: