Learn to create a modern data lake with Azure Data Factory (ADF), Data Lake Storage, Azure SQL and more in the DP203 course. This course primarily uses Azure Data Factory on Microsoft Azure along with other services such as Azure Blob Storage, Azure Data Lake Storage Gen 2, and Azure SQL Database. The course is designed to provide you with lectures, code-along videos, and a dedicated project, and you'll have lifetime access to all of the lectures.
Throughout the course, you'll learn about various Azure storage solutions, including Azure Blob Storage and Azure Data Lake Gen2 Storage. You'll also learn the basics of Azure Data Factory, including its core components like Linked Services, Datasets, Activities, Data Flows, Pipelines, and Integration Runtimes. Additionally, you'll explore how to integrate data from various file formats such as CSV, JSON, and Parquet.
The course covers the Copy Activity in Azure Data Factory, Data Flows, Control Flow, and Transformation Activities. You'll also learn how to orchestrate Data Integration Workflows, create Schedules and Triggers to execute your pipelines, and use Parameters and Variables with your Linked Services, Datasets, and Pipelines. Finally, you'll learn how to use Azure Data Factory with SQL Databases and explore authentication and access, including Managed Identities, Service Principals, and Azure Key Vault.
Udemy course :https://www.udemy.com/course/build-data-engineering-pipelines-with-azure-data-factory/?couponCode=3A9127BC3A8E53A421FF
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