Medallion Architecture Deep Dive: Building It in Databricks
These are tools and services I personally use or have tested, and I highly recommend them for learning, productivity, and professional growth: Datacamp - Learn data science and analytics skills: https://datacamp.pxf.io/Z6XZ1z Coursera – Top university and industry courses online: https://imp.i384100.net/EEzJ7K Udemy: Learning and teaching marketplace with over 250000 courses and 80 million students: https://trk.udemy.com/Bn3NMy 365 Data Science Online Program – Comprehensive data science training: https://365datascience.pxf.io/dORDny NodeVPN - Secures your Internet data with military-grade encryption: https://nordvpn.sjv.io/55djv3 Crypto.com - Buy & sell popular crypto, including BTC and ETH: https://cryptocom.sjv.io/19YbJa Affiliate Disclosure: Some of the links above are affiliate links, meaning I may earn a small commission if you purchase through them, at no extra cost to you. This helps support my channel and allows me to continue creating valuable content. Thank you for your support! ❤️ ***************************************************** 📅 Book 1-on-1 Coaching Session → https://calendly.com/ckdatatech/coach... 💰 $60 for 60 mins (includes a free 30-min follow-up) ******************************************************** Learn how to build a complete Medallion Architecture in Databricks from scratch using modern Data Engineering best practices. In this hands-on Databricks tutorial, we implement an end-to-end Bronze, Silver, and Gold data pipeline using Spark Declarative Pipelines (formerly Delta Live Tables concepts), Auto Loader, Lakeflow Jobs, and AWS S3. What you'll learn in this video: ✅ Medallion Architecture fundamentals ✅ Bronze, Silver, and Gold layer design patterns ✅ Ingesting files from AWS S3 using Databricks Auto Loader ✅ Building Bronze tables for raw data ingestion ✅ Data cleansing and deduplication in the Silver layer ✅ Implementing business transformations and aggregations in the Gold layer ✅ Creating declarative data pipelines with Databricks ✅ Orchestrating workflows using Lakeflow Jobs ✅ Using Genie AI / Databricks AI assistance for faster development ✅ End-to-end data engineering project implementation This tutorial is ideal for Data Engineers, Analytics Engineers, Data Architects, Databricks Developers, and anyone preparing for Databricks certifications or real-world data engineering projects. Technologies covered: Databricks Apache Spark Delta Lake Auto Loader Lakeflow Jobs AWS S3 Medallion Architecture Data Engineering Lakehouse Architecture ETL / ELT Pipelines Useful Resource Links: Databricks Tutorial Playlist: • Databricks Tutorials Databricks Medallion Architecture Docs - https://www.databricks.com/blog/what-... Auto Loader Databricks - https://docs.databricks.com/aws/en/in... If you found this video helpful, please like, subscribe, and share it with other data engineers. #Databricks #DataEngineering #MedallionArchitecture #DeltaLake #ApacheSpark

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