A marketing manager wants last month's West region sales with discounts above 15%. Which decision is the best method to display those results without added overhead?
Merge all recent sales from every region, then remove the other regions and discounts that do not qualify
Migrate the database schema, apply region and discount limitations afterward
Capture matching entries based on discount, region, and date parameters during the data retrieval process
Assemble a pivot for every monthly discount in the West, then discard data that is outside the discount requirement
Capturing the relevant entries using region, timeframe, and discount parameters focuses on the requested set. Large-scale migrations, full data loads, or pivoting everything first can consume more resources and do not emphasize retrieving fewer rows from the source.
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What is meant by 'data retrieval process'?
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Why is capturing matching entries prioritized over migrating database schemas?
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What are the potential drawbacks of merging all recent sales from every region?