While working on any data projects or watching Data-related videos, you must have encountered the term âSlowly Changing Dimensionsâ or SCDs.
This blog post guides you through the procedure of running dbt transformations on a local Postgres database and transforming data using SQL and Jinja templates. Finally, we will set up a Streamlit server to visualize the data using a plotly graph library.
In this blog, we will delve into the workings of Yahoo Financeâs historical data and explore Extract, Transform, Load (ETL) script that powers this pipeline.