Databricks SQL SCD Type 1,2,3 скачать в хорошем качестве

Databricks SQL SCD Type 1,2,3

Here's the GitHub Code Repo: https://github.com/ronlesteve/databri... In this video tutorial, we dive deep into Slowly Changing Dimensions (SCD) Types 1, 2, and 3 using Databricks and Delta Lake. Learn how to generate synthetic customer data with Python’s Faker library, then explore step-by-step implementations of each SCD type with practical SQL and Python code. Discover when and why to use each SCD approach: SCD Type 1: Overwrite data without preserving history—ideal for simple updates. SCD Type 2: Preserve full historical changes with effective dates and current flags. SCD Type 3: Track limited history by storing previous values in additional columns. By the end, you’ll understand how to manage evolving data effectively for accurate analytics and reporting. Perfect for data engineers, analysts, and anyone working with data warehousing or BI. Subscribe for more advanced data engineering tutorials and best practices!