Learn five SQL techniques to debug your ETL workflows and ensure data quality. Use logging tables, validation queries, debugging functions, testing tools, and comments.

Learn some best practices and tips to design ETL workflows that are easy to maintain and modify for your data warehouse or BI platform.

Automated ETL Framework for Analytics This repository contains an automated ETL framework that streamlines data processing and analytics using AWS services. The solution leverages AWS Glue for ...

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

Tools & Technologies SQL Server: For OLTP and DWH database management. SSIS (SQL Server Integration Services): For ETL processes to move data from OLTP to DWH. Power BI: For reporting and ...

Databricks, AWS and Google Cloud are among the top ETL tools for seamless data integration. Compare the best ETL tools for your data needs.

When its custom data pipelines began to fail at scale, one team pragmatically chose a single tool to create momentum, valuing progress over perfection.