[01] Data Lakehouse | End-to-End Guide to Building a Data Lakehouse (Open-Source Edition)

Unlock the power of modern data engineering with this end-to-end guide to building a Data Lakehouse using open-source tools.
In this project, we’ll go step by step through the architecture, setup, and implementation of a full Lakehouse pipeline:

✅ What you’ll learn in this video:

Overview of Data Lakehouse Architecture and Medallion Design Pattern

Setting up the platform with Docker, Spark, Hive, and MinIO

Using Delta Lake for data ingestion, transformation, and time travel

Orchestration with Dagster for reliable ETL workflows

Building data marts for reporting and dashboards

Connecting to BI tools (Power BI / Metabase) for business insights

This video is perfect for data engineers, analysts, and students who want to get hands-on with modern open-source data stack 🚀

👉 GitHub Repo (Code + Setup): https://github.com/nguyenthanhhungDE/DataLakeHouse

📌 Hashtags

#DataEngineer #DataLakehouse #OpenSource #Spark #DeltaLake #Dagster #BigData #ETL #PowerBI #Docker #DataEngineeringProject

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