According to internet information statistics, the amount of data generated globally is expected to exceed 175ZB this year, ...

In the context of rapid globalization, businesses are increasingly facing the need for cross-border data transmission. Different countries and regions adopt various time zones, date formats, and time ...

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 ...

This project is a complete ETL (Extract, Transform, Load) pipeline built using Python and SQL Server. It extracts product and order data from the Fake Store API ...

Learn how to work with streaming data using Microsoft Fabric, KQL, and Real-Time Intelligence in this full-day Live! 360 ...

This project builds a modern data warehouse powered by SQL Server, Python-driven ETL pipelines, and Docker containers. Designed around the Medallion Architecture, data flows seamlessly from raw ...

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 ...

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 ...

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 ...