Ovindu Hathnapitiya·Sep 20ETL vs ELT: How I Think About Choosing Between ThemMost data engineering conversations eventually hit the same question: should we transform the data before loading it, or after? The answer…
Kbhuvaneswari·Sep 8From Traditional ETL to Modern Cloud Data Engineering: A Practical Guide to MatillionIntroduction
Swapnil Muley·Aug 18How AI-Powered ETL Testing Protects Data Privacy Without Sacrificing QualityDisclaimer: This article is intended for educational and informational purposes only. It does not constitute legal, regulatory, or…
InArtificial Intelligence in Plain EnglishbySundaresh Sankaran·Aug 14Introducing duckdb-assistant: an aid for DuckDB SQLDuckDB benefits analytical pipelines; this is due to its role as a universal access component reaching several data stores, its lightweight…
Nata Kuznetsova·Jul 28Four ELT Tools, One Messy Dataset, and a Few Honest TakeawaysSpend enough time comparing ELT tools, and the pages start to feel like they were written from the same checklist.
Mayuha chaganti·Jul 28Understanding Storage in Azure: Blob Storage vs. Azure Data Lake Storage Gen2Azure offers different storage services to store and manage data in the cloud. The two most commonly used storage options in data…
Iryna Bundzylo·Jul 28I Tested Four Databricks ETL Tools, So You Don’t Have ToOne migration, four tools, and a lot of notes on who complained the most along the way.
Annapurnajagabathuni·Jul 1910 Practical Techniques That Improved My ETL PerformanceEvery ETL developer eventually faces the same challenge: a pipeline that worked perfectly with small datasets suddenly takes hours to…
S Chowdhary·Jul 2Lakeflow Designer: The Real Innovation Isn’t the CanvasMost demonstrations of Databricks Lakeflow Designer begin with the drag-and-drop interface. While the visual experience is impressive, it’s…
