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 ...
Not all data lakes are created equal. If your organization wants to adopt a data lake solution to simplify and more easily operate your IT infrastructure and store enormous quantities of data without ...
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 ...
A lightweight tool that parses SQL ETL scripts (BigQuery dialect) and auto-generates an interactive DAG to visualize end-to-end data flow across granular, intermediate, and output layers. Add ...
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 ...
Welcome to my SQL Server Data Warehouse & Analytics Portfolio Project! This end-to-end solution showcases how to build a modern data warehouse using SQL Server, implement ETL workflows, design ...
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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