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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Q. How does the nature of source data impact data extraction techniques for a data warehouse?

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Q. What are the two broad categories of data in operational systems that impact data extraction for a data warehouse?

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Q. Which type of data extraction is primarily used for the initial load of a data warehouse?

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Q. What does "data of revisions" or "incremental data capture" involve in the context of data extraction for a data warehouse?

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Q. Which of the following options for immediate data extraction uses transaction logs from DBMSs?

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Q. What is the primary advantage of using transaction logs for data extraction?

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Q. Which data extraction method allows the capture of both before and after images of data changes?

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Q. What is a disadvantage of using capture through database triggers for data extraction?

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Q. Which data extraction method is applicable to all types of source data, including databases, indexed files, and flat files?

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Q. Deferred data extraction techniques differ from immediate extraction techniques in that they:

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Q. Which technique is based on date and time stamps to capture source records for extraction?

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Q. What is a limitation of the Capture by Comparing Files technique?

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Q. How does the Capture by Date and Time Stamp technique handle deleted source records?

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Q. Which deferred data extraction technique may be considered a last resort for legacy data sources?

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Q. What is the primary reason for using the static data capture technique when populating a data warehouse initially?

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Q. Which technique is considered the most inexpensive for data extraction in terms of cost and overhead on source systems?

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Q. In terms of performance impact on source operational systems, which techniques have the least impact?

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Q. Which technique is recommended as the preferred option for dealing with transient source data while minimizing the impact on operational systems?

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