This mini-project demonstrates how Python and SQL can be combined to build a lightweight ETL (Extract, Transform, Load) workflow and generate actionable business insights from raw data. Using an open ...

This project demonstrates a Python based ETL pipeline that reads JSON files containing sales and customer data, performs extensive data cleaning and transformation, and loads the structured data into ...

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 ...

BlazingSQL builds on RAPIDS to distribute SQL query execution across GPU clusters, delivering the ETL for an all-GPU data science workflow. BlazingSQL is a GPU-accelerated SQL engine built on top of ...

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 ...