DP 700 Hindi- Intro to Lakehouse Warehouse and TSQL

Welcome to Episode 2 of the DP-700 Microsoft Fabric Certification Series. In this session, we deep dive into the most important storage and analytics components of Microsoft Fabric: ✅ Lakehouse ✅ Warehouse ✅ SQL Analytics Endpoint ✅ Delta Tables ✅ T-SQL Querying Understanding the differences between Lakehouse and Warehouse is critical not only for the DP-700 exam but also for designing real-world Microsoft Fabric solutions. This session includes both theory and hands-on demonstrations. 🔍 What You Will Learn ✔ What is a Lakehouse ✔ What is a Warehouse ✔ OneLake Storage Architecture ✔ Delta Parquet Tables ✔ Managed vs External Tables ✔ SQL Analytics Endpoint ✔ Querying Data using T-SQL ✔ Lakehouse vs Warehouse Comparison ✔ When to Use Lakehouse ✔ When to Use Warehouse ✔ DP-700 Exam Scenarios 💻 Live Demo ✅ Create Lakehouse ✅ Load Sample Data ✅ Create Tables ✅ Query Data using SQL Endpoint ✅ Create Warehouse ✅ Query Warehouse using T-SQL ✅ Compare Performance & Capabilities 📚 Topics Covered 00:00 Introduction 05:00 Lakehouse Fundamentals 20:00 Delta Tables Explained 30:00 Creating a Lakehouse 45:00 SQL Analytics Endpoint 60:00 Warehouse Fundamentals 70:00 Lakehouse vs Warehouse 80:00 DP-700 Exam Tips 87:00 Q&A 🎯 Who Should Attend DP-700 Aspirants Data Engineers Fabric Developers Power BI Professionals Azure Data Engineers DP-700 Series Roadmap ✅ Episode 1 → Fabric Overview, Domains & Workspaces ✅ Episode 2 → Lakehouse, Warehouse & T-SQL 🔜 Episode 3 → Lakehouse with Spark SQL 🔜 Episode 4 → Dataflow Gen2 🔜 Episode 5 → PySpark Notebooks 🔜 Episode 6 → Pipelines & Shortcuts 🔜 Episode 7 → Real-Time Analytics & KQL 🔜 Episode 8 → Direct Lake Semantic Models 🔜 Episode 9 → Composite Models, Mirroring & Data Agents 🔜 Episode 10 → End-to-End Fabric Project