From Kaggle Data Dump to Clean Data: Hands-on Project with Zomato API Data using Python and GCS, youâll see how raw datasets can be ingested, cleaned, and stored for analysis.
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.