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 ...

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 ...

In this practice project, I wanted to create an ETL process by only using Python. In my latest project using raw Spotify data, I used Excel, SSIS and Python for data transformation and SQL for data ...

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 ...