Dubai Real Estate SQL Analysis & Power BI Dashboard | Data Engineering Part 2

In Part 2 of this series, I run live SQL analysis on a real Dubai Land Department data warehouse and build a complete Power BI dashboard — all from 787,000+ real property transactions. What's covered in this video: 🔍 SQL Analysis in PostgreSQL: Yearly market growth and average transaction value Top 10 areas by total transaction value Property type market share breakdown Monthly transaction trends and seasonality (2022) Top 5 most expensive areas by price per square meter 📊 Power BI Dashboard: 787K total transactions · AED 1.76T total market value · AED 2.24M avg price Top 5 expensive areas by price Top 10 areas by total worth Market share by property type Monthly transaction value trends Yearly market growth 2000–2023 This is real data, real SQL, real dashboard — not a tutorial dataset. ▶ Part 1: Building the ETL pipeline and star schema from scratch ▶ Part 2: SQL analysis + Power BI dashboard (this video) 📊 Dataset: Dubai Land Department Transactions (Kaggle) https://www.kaggle.com/datasets/alexe... 💻 Full project code: github.com/Robin6551/dubai-realestate-pipeline 🛠️ Stack: Python · PostgreSQL · SQLAlchemy · Power BI If you found this useful, subscribe — more real UAE data projects coming. #PowerBI #SQL #DataEngineering #PostgreSQL #DubaiRealEstate #DataAnalytics #UAE #BusinessIntelligence