What is the difference between ETL and ELT, and why are they so widely used when it comes to data integration? 🔥
► These two key concepts are used daily by data engineers and analytics engineers in data pipelines. The extract, transform, and load steps are ubiquitous in data, which is why we're taking a closer look at them today!
► There are a range of cloud, on-premise, and open source solutions that can be found in various data architectures, alongside data lakes, data warehouses, and lakehouses.
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