Get started with data engineering on Azure

Module 1: This module describes how Microsoft Azure provides a comprehensive platform for data engineering.
In this module you will learn how to:
- Identify common data engineering tasks
- Describe common data engineering concepts
- Identify Azure services for data engineering
Module 2: Discover how Data Lake Storage provides a repository where you can upload and store unstructured data bringing new efficiencies to processing big data analytics.
In this module you will learn how to:
- Describe the key features and benefits of Azure Data Lake Storage Gen2
- Enable Azure Data Lake Storage Gen2 in an Azure Storage account
- Compare Azure Data Lake Storage Gen2 and Azure Blob storage
- Describe where Azure Data Lake Storage Gen2 fits in the stages of analytical processing
- Describe how Azure data Lake Storage Gen2 is used in common analytical workloads
Module 3: Introduction to Azure Synapse Analytics
In this module, you'll learn how to:
- Identify the business problems that Azure Synapse Analytics addresses.
- Describe core capabilities of Azure Synapse Analytics.
- Determine when to use Azure Synapse Analytics.

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