DP 700 Hindi- Lakehouse with Spark SQL

Welcome to Episode 3 of the DP-700 Microsoft Fabric Certification Series. In this session, we move from SQL Analytics Endpoint to one of the most important technologies in Microsoft Fabric: 🔥 Spark SQL Spark SQL is heavily used in Fabric Data Engineering for transforming, querying, cleansing, and preparing large-scale data inside a Lakehouse. This session focuses on understanding Spark SQL from a Microsoft Fabric perspective with hands-on demonstrations. 🔍 What You Will Learn ✔ What is Apache Spark ✔ What is Spark SQL ✔ Why Spark SQL is needed ✔ Spark vs T-SQL ✔ Lakehouse Architecture ✔ Working with Delta Tables ✔ Querying Files using Spark SQL ✔ Creating Tables using Spark SQL ✔ Insert, Update and Delete Operations ✔ Transforming Data using Spark SQL ✔ Fabric Notebook Basics ✔ DP-700 Exam Scenarios 💻 Live Demo ✅ Create Lakehouse ✅ Create Notebook ✅ Understand Notebook Interface ✅ Query Files using Spark SQL ✅ Create Managed Tables ✅ Create External Tables ✅ Use SELECT, WHERE, GROUP BY ✅ Create Views ✅ Perform Data Transformations ✅ Query Delta Tables 📚 Topics Covered 00:00 Introduction 05:00 What is Apache Spark 15:00 What is Spark SQL 25:00 Notebook Overview 35:00 Querying Files 45:00 Working with Delta Tables 60:00 Creating Tables 70:00 Transforming Data 80:00 Spark SQL vs T-SQL 87:00 DP-700 Tips & Q&A 🎯 Who Should Attend DP-700 Aspirants Data Engineers Fabric Developers Azure Data Engineers Power BI Professionals moving into Data Engineering 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