Extract, Transform, Load - Learn Data Science with Travis

Extract,-Transform,-Load-

Extract, Transform, Load (ETL) is a crucial process in data engineering that facilitates the movement of data from various sources to a target system, typically a data warehouse. The ETL process consists of three main steps:

Extract: Data is collected from diverse sources such as databases, files, or APIs.
Transform: The extracted data is cleaned, formatted, and enriched to ensure consistency and quality.
Load: Finally, the transformed data is loaded into a target system for analysis and reporting.

ETL enables organizations to manage large volumes of data effectively, ensuring it is ready for insightful analytics and decision-making.

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ETL stands for Extract - Transform - Load, it involves moving data from one or more sources, making some changes, then loading it into single destination.