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You are currently reading the special monthly issue of Data Gibberish. These monthly recaps allow you to catch up on what you missed last month. Enjoy your reading!
Demystifying Data Flow: ETL and ELT Explained Simply
Many data professionals struggle to decide between ETL and ELT. But mastering them is crucial for effective data management and analysis. I wrote a two-part series to help you make the best choice for your data product.
In part one of my ETL/ELT series, I explain these concepts in depth.
ETL (Extract, Transform, Load) has been around for ages. Some call it old school, but be aware - it still has its use cases.
On the flip side, ELT (Extract, Load, Transform) has become the standard nowadays, thanks to the modern data stack hype and the power of cloud computing.
I also share some use cases and real-world examples of ETL and ELT use cases I've worked on.
ETL vs. ELT: Which Data Integration Approach Reigns Supreme
In part two of the ETL/ELT series, we dive much deeper into…
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