What is the purpose of ETL (Extract, Transform, Load) in a data warehouse?
- To execute transactions efficiently
- To extract data from various sources, transform it, and load it
- To optimize queries for reporting
- To visualize data for end-users
ETL processes are crucial in data warehousing for extracting data from disparate sources, transforming it into a consistent format, and loading it into the data warehouse for analysis and reporting purposes.
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