Mastering Slowly Changing Dimensions (SCD) Type 1 with Azure Data Factory: A Step-by-Step Guide

(SCD Type 1 implementation via ADF)

Step 1: Setting Up Your Azure SQL Database for SCD Type 1. Create the emp_scdtype1 table in Azure SQL Database.

Step 2: Populating Your Table: Adding Initial Data Entries.

Step 3: Visualizing Data: Confirming Table Entries

Step 4: Data Lake Insights: Reviewing New File Entries.

Step 5: Dataset Creation: Building the Foundation for Data Flow

Step 6: Configuring Data Movement: Source and Sink Setup.

Step 7: Executing the Pipeline: Ensuring a Successful Run.

Step 8: Finally, verifying the result in SQL DB to check whether entries have been modified as per SCD Type 1.

In conclusion, mastering Slowly Changing Dimensions (SCD) Type 1 using Azure Data Factory involves a systematic approach to managing and updating data. By following the step-by-step guide, you can effectively create and manage datasets, define source and sink in copy activities, and verify the results in your SQL database. This process ensures that your data remains accurate and up-to-date, reflecting the most current information without retaining historical data. Azure Data Factory provides a robust platform for implementing SCD Type 1, making it an essential tool for data management and transformation in modern data solutions.