Description:
ETL, which stands for Extract Transform Load, is a process that gathers data from various source systems, transforms it, and then loads it into the data warehouse system.
It could also be defined as, a three-step data management process that takes data from structured and unstructured data sources, transforms it into a format that meets the business's operational and analytical needs, and loads it to a destination.
ETL serves as the building block in data analytics and machine learning. It organises and cleans data using a set of business rules to meet a variety of business intelligence requirements.
Too complicated to understand still? Don’t worry.
Here’s a quick and easy guide on everything ETL. Check it out!
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