Q. Why is it important to extract only the needed data from source systems for data warehousing?

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Q. What is one of the challenges associated with ETL functions in data warehousing?

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Q. Which of the following best describes the primary purpose of ETL functions in data warehousing?

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Q. What is the correct sequence of ETL functions?

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Q. What makes ETL functions challenging in the context of source systems?

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Q. Why is data quality often an issue in ETL functions?

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Q. What is a common challenge in ETL due to the lack of consistency among source systems?

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Q. Which of the following is a key factor that adds to the complexity of ETL functions?

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Q. What is one of the challenges of data extraction in ETL functions?

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Q. Which step in the ETL process involves converting data from one format in the source platform to another format in the target platform?

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Q. What is the significance of planning for aggregate fact tables in the ETL process?

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Q. What is one of the primary reasons for the complexity of data extraction and transformation functions in data warehousing?

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Q. Why might third-party data extraction tools be preferred in data warehousing over in-house programs?

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Q. What is one key factor that differentiates data extraction for data warehousing from data extraction for operational systems?

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Q. What is a crucial aspect of data extraction that impacts data warehousing success?

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Q. Which of the following is not an issue to consider in data extraction for a data warehouse?

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Q. What is the first step in the source identification process for data extraction in a data warehouse?

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Q. Why is source identification a critical process in data extraction for a data warehouse?

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Q. What is a key characteristic of source data in operational systems?

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Q. In a data warehouse, why is preserving the history of changes in source data important?

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