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🚀 SCD Type 1 in PySpark | Data Engineer Concepts Explained Welcome to this Data Engineering tutorial where we dive deep into implementing Slowly Changing Dimension Type 1 (SCD1) using PySpark! 📌 In this video, you'll learn: What is SCD Type 1 and when to use it Real-world scenarios for SCD1 Step-by-step PySpark implementation Using merge (Delta Lake) to handle updates Sample input/output data walkthrough Performance tips and best practice Course link: https://www.geekcoders.co.in/courses/End-to-End-Databricks-Theory--2-Projects-67ed3682cc8eee3f852f4326#packageContents It contains below courses: 1. https://www.geekcoders.co.in/courses/Databricks-Certified-Data-Engineer-Zero-to-Hero-65eea8c0940e6c57bba246f7 2. https://www.geekcoders.co.in/courses/Master-in-Python-with-Data-Structures-and-Algorithms-64743d16e4b0b0dfc125250c-64743d16e4b0b0dfc125250c 3. https://www.geekcoders.co.in/courses/Build-AI-Application-using-Databricks-and-LLM-67b23cff7347fd582a59a92d 4. https://www.geekcoders.co.in/courses/Build-Real-Time-DeltaLake-Project--using-PySpark-and-Spark-SQL-with-Databricks-64a0af30e4b0f71237fa1bf3-64a0af30e4b0f71237fa1bf3 👍 Like | 🔁 Share | 💬 Comment | 🔔 Subscribe for more PySpark & Big Data tutorials! #PySpark #SCD1 #DataEngineering #SparkTutorial #ETL #BigData #DeltaLake #SlowlyChangingDimensions #Databricks #ApacheSpark
