Overview:  Python ETL is not just for experts. The right tools can make data work simple, even for beginners.Learning one or ...
It’s hard to imagine data warehousing without ETL (extract, transformation, and load). For decades, analysts and engineers have embraced no-code ETL solutions for increased maintainability. Does this ...
This project implements an ETL (Extract, Transform, Load) pipeline using Python and PostgreSQL to process and analyze JSON log data. It simulates a real-world data engineering workflow — extracting ...
MySQL → to store artifacts, media, colors, etc. Streamlit → to build the UI and run queries / show results For your last query (artifacts per classification + average media count), since you’re ...
The next version of Microsoft's flagship database will run Python scripts, with full access to Python third-party libraries, as native T-SQL stored procedures Don’t bring the data to your computation ...