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Microsoft Data Factory: ETL & Data Integration Essentials

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Microsoft Data Factory: ETL & Data Integration Essentials

About The Course

Course Overview

Master Data Integration with Microsoft Azure Data Factory – Powered by EdifyIt

EdifyIt’s Microsoft Data Factory Course is tailored for professionals aiming to build scalable data pipelines and automate data workflows in the cloud. Learn how to design, orchestrate, and monitor data flow solutions using Azure Data Factory – Microsoft’s powerful ETL service.

What You’ll Be Able to Do

  • Build and manage end-to-end data pipelines in Azure
  • Perform ETL (Extract, Transform, Load) operations across services
  • Integrate, transform, and migrate data from multiple sources
  • Automate workflows and monitor data movement efficiently

With real-time scenarios, you’ll gain hands-on experience in configuring linked services, working with datasets, building data flows, and deploying production-ready pipelines.

What You’ll Learn

  • Overview of Azure Data Factory architecture
  • Creating and scheduling pipelines
  • Building data flows and mapping transformations
  • Connecting to cloud and on-premise data sources
  • Working with triggers, parameters, and variables
  • Monitoring, debugging, and managing data pipeline performance
  • Integrating ADF with other Azure services (SQL, Data Lake, Synapse)

Who Should Enroll

This course is best suited for:

  • Data engineers and cloud professionals
  • BI developers and database administrators
  • ETL developers transitioning to Azure
  • Anyone interested in automating and scaling data workflows in the cloud
The Course Curriculam

Introduction and Overview

Environment Setup

Data Movement Activity

Data Transformation Activity

Control Flow, Parameters and Variables

Azure SQL for Data Movement

Triggers

Creating and Managing Pipelines

Industry Based Project

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EdifyIT

10 Courses 11 Students
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edifyit

5 Courses 0 Student
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