Data Analytics: How to understand Data Lakehouse Architecture by implementing all concept on PostgreSQL with Foreign Data Wrapper Extension With Working Demo — Part4
Unlock the power of modern data platforms in Part 4 of our Data Analytics series! Ever wondered what a Data Lakehouse is and why it's becoming the go-to architecture for companies big and small? This video breaks it down in a simple, easy-to-understand way and then goes a step further: we build one right on our local machine.
Join us for a complete, hands-on tutorial where you'll learn how to implement a fully functional Data Lakehouse using two powerful, open-source tools: PostgreSQL and Docker. We'll show you how to combine the massive, low-cost storage of a data lake with the powerful querying and transactional features of a data warehouse.
By the end of this video, you will be able to:
✅ Clearly explain what a Data Lakehouse is and how it differs from a Data Lake and Data Warehouse.
✅ Understand the 5 core layers of a Lakehouse architecture.
✅ Set up a complete environment using Docker Compose with PostgreSQL and MinIO (as our S3-compatible data lake).
✅ Configure PostgreSQL's Foreign Data Wrappers (FDW) to read external data.
✅ Write and run real SQL queries to join data from your "lake" with tables in your "warehouse."
This tutorial is perfect for aspiring data engineers, data analysts, software developers, and any tech enthusiast looking to get hands-on experience with modern data architectures. No prior Lakehouse experience needed!
https://www.youtube.com/watch?v=t2evXWAAQPk
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