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Unlock the Power of Azure Data Factory with Real-World Projects! In this comprehensive video, we dive deep into 10+ real-time Azure Data Factory projects designed to help you master data integration, ETL/ELT pipelines, and data orchestration in the cloud. Whether you're a *data engineer, **architect, or **cloud enthusiast*, these hands-on tutorials will equip you with the skills to tackle real-world scenarios and optimize your data workflows. 🔹 What You'll Learn: End-to-end implementation of Azure Data Factory projects Real-time data integration and transformation techniques Best practices for building scalable and efficient pipelines How to handle complex data scenarios with ease Tips for monitoring, debugging, and optimizing your pipelines ➖➖➖➖➖➖➖➖➖➖➖➖➖ Chapters: 0:00 Introduction 01:21 ADF PROJECT - REST APIs for Real-Time Data Fetching 09:36 *ADF PROJECT -*ADF Empty File Scenario 25:59 *ADF PROJECT -ADF Empty File Scenario 34:00 *ADF PROJECT -Delete File Scenario 46:36 *ADF PROJECT -Copy Latest File Scenario 1:03:10 *ADF PROJECT -Delete Files Greater Than 1 MB Scenario 1:13:46 *ADF PROJECT -Multiple Table Bulk Copy Scenario 1:27:46 *ADF PROJECT -How to Find Total File Count Scenario 1:32:40 *ADF PROJECT -Validate Schema Scenario 1:42:16 *ADF PROJECT -*SCD Type 1 (Slowly Changing Dimension Type 1) Scenario 1:57:21 *ADF PROJECT -SCD Type 2 (Slowly Changing Dimension Type 2) Scenario 🔹 Projects Covered: 1. Integrating REST APIs for Real-Time Data Fetching 2. ADF Empty File Scenario 3. Download from API, Unzip, and Copy Scenario 4. Delete File Scenario 5. Copy Latest File Scenario 6. Delete Files Greater Than 1 MB Scenario 7. Multiple Table Bulk Copy Scenario 8. How to Find Total File Count Scenario 9. Validate Schema Scenario 10. SCD Type 1 (Slowly Changing Dimension Type 1) Scenario 11. SCD Type 2 (Slowly Changing Dimension Type 2) Scenario --- 📌 Don't forget to LIKE, SHARE, and SUBSCRIBE for more in-depth tutorials on cloud technologies, data engineering, and Azure! Hit the bell icon to stay updated with our latest uploads. ➖➖➖➖➖➖➖➖➖➖➖➖➖ PLAYLIST: 1. AWS DATA ENGINEER : • AWS DATA ENGINEER 2. AZURE DATA ENGINEER PLAYLIST : • Complete azure data engineer Course |... 3. SQL PLAYLIST : • SQL Playlist 4. PYTHON PLAYLIST : • Python Tutorial 5. Azure data factory PLAYLIST : • Azure Data Factory 6. Pyspark PLAYLIST: • Pyspark Tutorial 7. AZURE DATA ENGINEER Projects : • Data Engineer Project 8. DATA ENGINEER Interview preparation : • Data Engineer Interview Playlist ➖➖➖➖➖➖➖➖➖➖➖➖➖ 📣Want to connect with me? Check out these links:📣 Join telegram to discuss https://t.me/+Cb98j1_fnZs3OTA1 ➖➖➖➖➖➖➖➖➖➖➖➖➖🔹 Who Is This For? Aspiring and experienced data engineers Cloud architects and developers Data professionals looking to upskill in Azure Data Factory Anyone preparing for Azure certifications (DP-203, etc.) 🔹 Tools & Technologies Used: Azure Data Factory Azure Blob Storage, SQL Database, Data Lake Databricks, REST APIs, and more 📌 Don't forget to LIKE, SHARE, and SUBSCRIBE for more in-depth tutorials on cloud technologies, data engineering, and Azure! Hit the bell icon to stay updated with our latest uploads. 🔗 Resources & Code: [Link to GitHub Repository] [Link to Azure Free Trial] #AzureDataFactory #DataEngineering #CloudComputing #ETL #DataIntegration #AzureTutorial #DataPipeline #RealTimeProjects #LearnAzure #DP203 tags : Azure Data Engineer Project, Azure Data Factory Tutorial, Azure Synapse Analytics Project, Azure Databricks Project, Azure Data Lake Storage, Azure SQL Database ETL, Azure Cosmos DB Integration, Azure Stream Analytics, Azure Data Pipeline Design, Azure DevOps for Data Engineering, Azure Purview Data Governance, Azure HDInsight Tutorial, Azure Event Hubs Streaming, Azure Logic Apps Automation, Azure Machine Learning Pipelines, Azure Data Catalog, Azure Monitor for Data Pipelines, Azure ARM Templates Deployment, Azure Data Engineering Certification DP-203 Azure Fabric Tutorial, Microsoft Fabric Projects, Azure AI + Data Engineering, Azure OpenAI Integration, Azure Serverless ETL, Azure Data Engineering 2024, Azure PySpark Projects, Azure Data Engineering for Beginners, Advanced Azure Data Projects, Azure Data Engineering Playbook