ETL on Microsoft Azure

by We Cloud Data Claim Listing

Each cloud provider has its own managed services for data engineering. Some are purposefully built for big data, others are more generic tools. In this module, we will teach learners the Azure for building platforms for building big data pipelines.

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Course Details

Each cloud provider has its own managed services for data engineering. Some are purposefully built for big data, others are more generic tools. In this module, we will teach learners the Azure for building platforms for building big data pipelines.

 

Learning Outcomes

  • Learn how the Azure basics such as Active Directory, Blob Storage, VM

  • Learn how to ingest data using low-code tool such as Azure Data Factory

  • Ingest data using Azure Functions

  • Understand the zoned separation in data lakes

  • Learn how to ingest data into Azure Synapse Analytics using Serverless Spark Pool

  • Build a simple data lake solution using Azure Databricks

 

Key Skill:

Azure Data Factory, Azure Synapse Analytics, Spark ETL, Blob Storage, Data Lake, Landing Zone, Azure Function

  • Toronto Branch

    433 Yonge St, 2nd Floor, Toronto

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