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ADF + Snowflake End to End Data Engineering Project | Real-Time ELT Data Pipeline

Praveen Kumar Bommisetty

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ADF + Snowflake End to End Data Engineering Project | Real-Time ELT Data Pipeline

3 676 просмотров · 3 недели назад
Praveen Kumar Bommisetty
58,7 тыс. подписчиков
3 676 просмотров · 3 недели назад
https://praveenkumarbommisetty.graphy... Azure Data Factory + Snowflake End-to-End Data Engineering Project In this complete hands-on project, we will build a real-world Azure Data Factory and Snowflake ETL pipeline from scratch. You will learn how data is extracted from the source system, processed through Azure Data Factory, loaded into Snowflake, transformed, validated, and made ready for analytics. 📌 Project Architecture Source Database ↓ Azure Data Factory ↓ Azure Data Lake / Blob Storage ↓ Snowflake ↓ Staging Layer ↓ Transformation Layer ↓ Final / Reporting Tables ↓ Power BI / Analytics 🔥 What You Will Learn ✅ Real-world Azure Data Factory architecture ✅ ADF Linked Services ✅ ADF Datasets ✅ Copy Activity ✅ Parameters and Variables ✅ Lookup Activity ✅ ForEach Activity ✅ Dynamic Pipelines ✅ Incremental Load ✅ Full Load ✅ Watermark / Last Modified Date ✅ Error Handling ✅ Pipeline Monitoring ✅ Snowflake Integration ✅ Snowflake Staging Tables ✅ Snowflake SQL Transformations ✅ Data Validation ✅ Performance Optimization ✅ ETL Best Practices ✅ End-to-End Data Flow ✅ Real-world Data Engineer Interview Scenarios