Extract, Transform, Load (ETL) is a data integration process that involves extracting data from various sources, transforming it into a suitable format, and loading it into a destination database or data warehouse. This process is crucial for preparing data for analysis and reporting, as it ensures that the data is clean, consistent, and organized. ETL processes support efficient data loading strategies and best practices by streamlining the flow of information from diverse sources into cohesive datasets that can drive business intelligence.
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