ETL implementation with Python and Azure cloud This project implements a simple Star Schema data warehouse design: Extracting data source from Azure blob storage, Transforming the data into Dimension ...

Conclusion -- This project provides practical experience in building an SQL-based ETL pipeline using Oracle SQL. -- From ingesting raw data to automating the cleanup process using triggers, the ...

SQL is not confined to the traditional relational database systems (RDBMS) and data warehousing solutions. SQL-on-Hadoop engines run on top of distributed file systems to help process big data and ...

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework.

BlazingSQL builds on RAPIDS to distribute SQL query execution across GPU clusters, delivering the ETL for an all-GPU data science workflow.

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.