ETL is a data integration process that involves extracting data from various systems, transforming it, and loading it into a data warehouse or analytical platform.
The ETL process consists of three main stages:
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Extract – retrieving data from source systems, e.g., ERP, CRM, or databases
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Transform – cleaning, standardizing, and preparing data for analysis
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Load – saving data to the target system, e.g., a data warehouse or Business Intelligence platform
ETL is one of the fundamental mechanisms for building data architecture in analytical systems. Through this process, organizations can combine data from multiple sources and create consistent reports and business analyses.
In modern analytical environments, ETL processes are often implemented using data integration tools, such as Talend, which automate data processing and flow management.