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 ...
Objective: Simulate ETL (Extract, Transform, Load) using SQL. Mini Guide: 1.Import raw data (CSV) into staging tables. 2.Clean data (remove duplicates, nulls). 3.Transform and move to production ...
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 demonstrates a complete ETL pipeline and data orchestration using Azure Cloud Services, including Azure Data Factory (ADF), Azure Data Lake Storage Gen2 (ADLS), and Azure SQL Database.
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