- 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.
Overview
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Syllabus
- Module 1: Module 1: Introduction to data engineering on Azure
- Introduction
- What is data engineering
- Important data engineering concepts
- Data engineering in Microsoft Azure
- Knowledge check
- Summary
- Module 2: Module 2: Introduction to Azure Data Lake Storage Gen2
- Introduction
- Understand Azure Data Lake Storage Gen2
- Enable Azure Data Lake Storage Gen2 in Azure Storage
- Compare Azure Data Lake Store to Azure Blob storage
- Understand the stages for processing big data
- Use Azure Data Lake Storage Gen2 in data analytics workloads
- Knowledge check
- Summary
- Module 3: Module 3: Introduction to Azure Synapse Analytics
- Introduction
- What is Azure Synapse Analytics
- How Azure Synapse Analytics works
- When to use Azure Synapse Analytics
- Exercise - Explore Azure Synapse Analytics
- Knowledge check
- Summary