ETL in 60 seconds | Extract Transform Load ETL explained

ETL explained in 60 seconds

ETL stands for Extract, Transform, Load. It is a process in data management that involves extracting data from various sources, transforming it into a format that is more suitable for analysis and business intelligence, and then loading it into a target system, such as a data warehouse or a database.

The ETL process is commonly used in data warehousing and business intelligence to enable organizations to analyze data from various sources and make informed decisions. The process involves extracting data from various sources, such as databases, flat files, and APIs, and then transforming the data into a format that is more suitable for analysis and reporting. This may involve cleaning and filtering the data, as well as combining data from different sources and applying business rules to it. Finally, the transformed data is loaded into the target system, where it can be queried and analyzed to generate insights and inform business decisions.

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