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Introduction to Azure Data Factory

Create data-driven pipelines, achieve seamless connectivity, and explore data orchestration as an alternative for managing cloud resources in this comprehensive Azure Data Factory (ADF) course.

  • Course Info
  • Instructor
  • What to know beforehand
  • System Requirements

Course Description

Azure Data Factory (ADF) is a cloud-based service for data integration. ADF is used to integrate disparate data sources from across your organization including data in the cloud and data that is stored on-premises. In this course, you will learn how to create data-driven pipelines to direct the movement of data.

Course Outline ( Free Preview)

Introduction to Data Factory - What you need to get started

Module 00 - Class Introduction

Module 01A - Getting Started with Azure (Navigating the Azure Portal)

Module 01B - Getting Started with Azure (Resource Groups) 23 min.

Module 01C - Getting Started with Azure (Setting up Storage) 32 min.

Module 02A - Working with Data Factory (Provisioning Data Factory) 12 min.

Module 02B - Working with Data Factory (Data Factory Navigation) 16 min.

Module 02C - Working with Data Factory (Copy Data Tool) 42 min.

Module 02D - Working with Data Factory (Factory Resources) 34 min.

Module 03A - Pipeline Activities (Copy Activity - Azure SQL Database to ADLS) 39 min.

Module 03B - Pipeline Activities (Copy Activity - ADLS to Azure SQL Database) 17 min.

Module 03C - Pipeline Activities (Get Metadata Activity) 18 min.

Module 03D - Pipeline Activities (Stored Procedure Activity) 38 min.

Module 03E - Pipeline Activities (Lookup Activity) 22 min.

Module 03F - Pipeline Activities (If Condition Activity) 22 min.

Module 03G - Pipeline Activities (Filter Activity) 22 min.

Module 03H - Pipeline Activities (ForEach Activity) 22 min.

Module 03I - Pipeline Activities (Creating Dynamic Datasets) 27 min.

Module 04A - Data Flows (Source) 25 min.

Module 04B - Data Flows (Transformations) 26 min.

Module 04C - Data Flows (Sink) 15 min.

Module 05A - Working with On-Premises Data (Creating Self-Hosted Integration Runtime) 12 min.

Module 05B - Working with On-Premises Data (SQL Server Dataset) 12 min.

Module 06 - Triggers (Schedule Trigger) 17 min.

Module 07 - Monitoring (Azure Data Factory) 12 min.

Wrap-Up 3 min.

This course includes:

  • 9+ hours of training
  • 26 Modules
  • * Access on mobile and browser
  • Certificate of Completion