Perform data engineering with Azure Synapse Apache Spark Pools

Intermediate
Data Engineer
Synapse Analytics

Learn how to perform data engineering with Azure Synapse Apache Spark Pools, which enable you to boost the performance of big-data analytic applications by in-memory cluster computing.

Prerequisites

  • It is recommended that students have completed Data Fundamentals before starting this learning path.

Modules in this learning path

Learn how to differentiate between Apache Spark, Azure Databricks, HDInsight, and SQL Pools, as well as understanding the use-cases of data-engineering with Apache Spark in Azure Synapse Analytics.

Learn how to ingest data using Apache Spark Notebooks in Azure Synapse Analytics.

Learn how to transform data using DataFrames in Apache Spark Pools in Azure Synapse Analytics.

Learn how to integrate SQL and Apache Spark pools in Azure Synapse Analytics.

Learn how to monitor and manage data engineering workloads with Apache Spark in Azure Synapse Analytics.