Azure Data Factory End -To-End Project With Azure DevOps | 2025 Zero To Pro Guide

Azure Data Factory End-To-End Project | PySpark | Azure Data Migration | Medallion Architecture | Azure DevOps For Data Engineers 🔍 What You'll Learn: In this 6-hour tutorial, you’ll be mastering Azure Data Factory through an end-to-end project. We’ll cover everything from on-prem to Azure migration, incremental data loading, API ingestion, Logic Apps, PySpark Mapping Data Flows, to working with Delta Lake, along with practical interview questions. Timestamps: 0:00 Introduction 07:47 Data Architecture 14:23 Azure Free Account 17:40 Azure Resources 24:24 Azure Data Factory Tutorial 38:03 On-Prem To Azure Migration 1:25:20 Dynamic ADF Pipelines with Dynamic Mapping 1:56:53 API To Azure Migration 2:12:21 Set up Azure SQL DB 2:21:02 Incremental Data Loading In Azure Data Factory 2:59:05 Data Orchestration in Azure Data Factory 3:11:58 Logic Apps Using Azure Data Factory 3:45:00 PySpark Transformation Using Azure Data Factory 4:40:38 Gold Layer For Business Views 5:10:20 Triggers in Azure Data Factory 5:13:51 Azure Git Integration with GitHub 5:18:59 Azure DevOps Free Account 5:21:21 Azure DevOps Tutorial 5:23:31 Feature Branch & Pull Request In ADF WATCH MY PREVIOUS VIDEOS ➡️Git & Github Full Course https://youtu.be/Kr8l7rQGwNs?si=BZ0kucFHNhaJMkRB ➡️PySpark Full Course https://youtu.be/94w6hPk7nkM?si=i3u_8ZWkGf6fiGyh ➡️Azure End To End Data Project https://youtu.be/ESWqAZP2qA4?si=eWBmBQYOk5pMYfxh ➡️Databricks Tutorial https://youtu.be/7pee6_Sq3VY?si=pPBrTnE2R8PhhHu5 REPOSITORY ➡️GitHub https://github.com/anshlambagit/AnshLambaYoutube ======================================= Join this channel to SUPPORT MY HARDWORK: https://www.youtube.com/channel/UCu7lQE-L5gzt8aD7zuuufjw/join ======================================= Connect with ME LinkedIn - https://www.linkedin.com/in/ansh-lamba-793681184/ Telegram - https://t.me/anshlambadatafam ========================= For COLLABORATION 👇 anshlambacollab@gmail.com ========================= ⭐Hashtags⭐ #azure #azuredatafactory #azuredataengineer #bigdata #databricks #dataengineering #datawarehouse #datalake