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 ...
│ └── 03_load_data.py # Loads the cleaned data into the MySQL database │ └── create_cleaned_sales_table.sql # SQL script to create the cleaned_sales table in MySQL │ ├── reports/ # Reports and visual ...
A robust ETL (Extract, Transform, Load) pipeline for migrating data from Azure SQL Server to PostgreSQL, ensuring complete data transfer with proper validation and reporting. python -m src.main ...
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 ...
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 ...
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