This project demonstrates a complete SQL-based ETL (Extract, Transform, Load) pipeline designed to simulate real-world data engineering workflows. The objective of this project is to transform raw CSV ...
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 ...
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 ...
This project implements an end-to-end ETL pipeline for an online store, using SQL Server as a Data Warehouse and following the Medallion Architecture (Bronze, Silver, Gold). The goal of the project is ...
Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...
New data integration vendors are promising to ETL your data to its destination in minutes. Is the old ETL process, with hundreds of complex stages, completely defunct? I recently worked on a content ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results