Q. What is the primary goal of Enterprise Application Integration (EAI)?

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Q. What term is used to describe the approach of physically consolidating data from dispersed sources?

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Q. Which technology is primarily driving the implementation of EII tools?

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Q. What does EII stand for in the context of data integration approaches?

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Q. When might EII not be the approach of choice for data integration?

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Q. What might be a drawback of using EII for querying through dispersed data sources?

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Q. In what situations might EII be considered as an alternative to ETL for data integration?

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Q. How do EII products handle queries directed at virtual data views?

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Q. What approach does EII support in terms of data integration?

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Q. How does EII enable applications to access dispersed data sources?

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Q. What is the primary characteristic of Enterprise Information Integration (EII) in data integration?

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Q. What role does ETL metadata play in data acquisition and data storage?

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Q. What is the primary function of data capture through replication in ETL?

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Q. In ETL, what is the significance of breaking down tasks and conducting detailed analysis?

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Q. What is the potential consequence of flaws in the ETL process in a data warehouse?

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Q. What is the recommended approach for managing data loads in a data warehouse?

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Q. What is the primary reason for the complexity and importance of ETL functions in data warehousing?

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Q. Why is it important to manually record metadata when using in-house programs for ETL functions?

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Q. What challenge arises when using in-house programs for ETL functions instead of vendor tools?

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Q. What does ETL metadata typically contain information about?

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