Medallion Architecture Explained in 2 Minutes скачать в хорошем качестве

Medallion Architecture Explained in 2 Minutes

In this video, I have explained- what a Medallion Architecture is in simple terms using real-world analogies and practical data engineering examples. You’ll learn why Medallion Architecture is used, how they store raw data, and where they fit in modern data platforms across cloud environments. #lakehouse #databricks #DataEngineering #DataEngineeringConcepts #BigData #DataArchitecture #CloudDataEngineering Join this channel to get access to perks:    / @mr.ktalkstech   – – – Book a Private One on One Meeting with me (1 Hour) – – – https://www.buymeacoffee.com/mrktalks... – – – Express your encouragement by brewing up a cup of support for me – – – https://www.buymeacoffee.com/mrktalks... – – – Other useful playlist: – – – 1. Microsoft Fabric Playlist:    • Microsoft Fabric Tutorials   2. Azure General Topics Playlist:    • Azure Beginner Tutorials   3. Azure Data Factory Playlist:    • Azure Data Factory Tutorials   4. Databricks CICD Playlist:    • CI/CD (Continuous Integration and Continuo...   5. Azure Databricks Playlist:    • Azure Databricks Tutorials for Beginners   6. Azure End to End Project Playlist:    • End to End Azure Data Engineering Real Tim...   7. End to End Azure Data Engineering Project:    • An End to End Azure Data Engineering Real ...   – – – Let’s Connect: – – – Email: mrktalkstech@gmail.com Instagram: mrk_talkstech – – – About me: – – – Mr. K is a passionate teacher created this channel for only one goal "TO HELP PEOPLE LEARN ABOUT THE MODERN DATA PLATFORM SOLUTIONS USING CLOUD TECHNOLOGIES" I will be creating playlist which covers the below topics (with DEMO) 1. Azure Beginner Tutorials 2. Azure Data Factory 3. Azure Synapse Analytics 4. Azure Databricks 5. Microsoft Power BI 6. Azure Data Lake Gen2 7. Azure DevOps 8. GitHub (and several other topics) After creating some basic foundational videos, I will be creating some of the videos with the real time scenarios / use case specific to the three common Data Fields, 1. Data Engineer 2. Data Analyst 3. Data Scientist Can't wait to help people with my videos. – – – Support me: – – – Please Subscribe:    / @mr.ktalkstech