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 demonstrates an end-to-end Extract, Transform, Load (ETL) pipeline using Apache Spark on the Databricks platform. It reads raw data from a CSV file, processes it, and loads the refined ...

The Campaign ETL Project is a data engineering project that extracts American candidate/recipient data spanning 1979-2024 from a CSV file, transforms it into a clean SQL schema, and loads it into ...

Microsoft has dabbled in the ETL (extract-transform-load) marketplace for a long time, in fact, almost 2 decades. Way back in the day, SQL Server shipped with a command-line tool known as the Bulk ...

Global software house Microsoft is making big data the focus of SQL Server 2019, set for release later this year. A key part is data virtualisation, eliminating complex ETL processes. Microsoft says ...

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 ...

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