ETL, which stands for Extract, Transform, Load, is a crucial process in data warehousing that involves extracting data from various source systems, transforming it into a format suitable for analysis, and loading it into a data warehouse. This process is foundational for consolidating different data sets into a single, comprehensive repository, enabling advanced analytics and business intelligence tasks. By efficiently managing data through ETL, businesses can ensure data accuracy and accessibility, facilitating better decision-making and strategic insights. ETL not only helps in cleaning and organizing data but also in maintaining data integrity and consistency across diverse business systems.

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