- 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
- 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
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Syllabus
- Introduction to data engineering on Azure
- Introduction
- What is data engineering
- Important data engineering concepts
- Data engineering in Microsoft Azure
- Module assessment
- Summary
- 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
- Module assessment
- Summary