Explain the process of ETL (Extract, Transform, Load) in the context of data warehousing. What role does it play in data integration?
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Explain the process of ETL (Extract, Transform, Load) in the context of data warehousing. What role does it play in data integration?
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- Explain the concept of ETL (Extract, Transform, Load) processes in the context of data warehousing.Explain the concept of ETL (Extract, Transform, Load) in the context of data warehousing.Explain the concept of ETL (Extract, Transform, Load) in the context of data warehousing. What are the primary functions of each ETL phase?
- Explain the process of ETL (Extract, Transform, Load) in the context of data warehousing. What are the key steps involved, and why is ETL crucial for data integration?Explain the concept of "data aggregation" in data warehousing. How does data aggregation help in summarizing and analyzing large volumes of data, and what are some common aggregation functions?Explain the concept of data virtualization in the context of data warehousing. How does it impact data integration?
- Explain the process of ETL (Extract, Transform, Load) in the context of data warehousing, and provide examples of common ETL tools and techniques.Explain the concept of data warehousing. What is its primary purpose in the context of data management?In the context of data warehousing, what are the typical challenges associated with data integration, and how can they be addressed?