Data Modeling | Data Warehouse | Data warehouse | Databricks | PySpark | SparkSQL 🔍 What You'll Learn: In this 3+ hour tutorial, you will master key Dimensional Data Modeling concepts like ETL pipelines, incremental data loading, data warehousing, Star vs. Snowflake schema, and Slowly Changing Dimensions. We’ll also implement everything hands-on using Databricks and Spark SQL. Timestamps: 0:00 Introduction 08:22 What is Data Modeling and its Types? 13:53 OLTP vs OLAP Databases 27:23 ETL Fundamentals and Architecture 43:22 Databricks Free Edition 54:02 Incremental Data Loading (Bronze Layer) 1:15:31 Silver Layer MERGE or UPSERT 1:38:21 Dimensional Data Model Basics 1:45:58 Build Dimensions and Fact Tables 2:22:51 STAR vs SNOWFLAKE Schema 2:29:66 Types of Facts and Dimensions 2:41:14 Slowly Changing Dimensions Type-1 and Type-2 WATCH MY PREVIOUS VIDEOS ➡️PySpark Full Course https://youtu.be/94w6hPk7nkM?si=i3u_8ZWkGf6fiGyh ➡️Azure End To End Data Project https://youtu.be/uc-u_juRg-w?si=sO_CavjnhNaSnZri ➡️Databricks Tutorial https://youtu.be/7pee6_Sq3VY?si=pPBrTnE2R8PhhHu5 REPOSITORY ➡️GitHub https://github.com/anshlambagit/AnshLambaYoutube ======================================= Join this channel to SUPPORT MY HARDWORK: https://www.youtube.com/channel/UCu7lQE-L5gzt8aD7zuuufjw/join ======================================= Connect with ME LinkedIn - https://www.linkedin.com/in/ansh-lamba-793681184/ Telegram - https://t.me/anshlambadatafam ========================= For COLLABORATION 👇 anshlambacollab@gmail.com ========================= ⭐Hashtags⭐ #datamodeling #databricks #dataengineering #datawarehouse

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