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ETL processes are important in data integration and analysis because they help extract data from various sources, transform it into a consistent format, and load it into a target system for analysis. This ensures data quality, consistency, and accessibility, making it easier to derive meaningful insights and make informed decisions based on the data.

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Q: What is the importance of ETL (Extract, Transform, Load) processes in data integration and analysis?
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