Which type of indexing benefits data warehouse applications?
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Vector indexing
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B-tree indexing
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Bitmapped indexing
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Join indexing
C
Correct answer
Explanation
Bitmapped indexing is highly efficient for data warehouse applications because it uses bitmaps to represent indexing information, making it ideal for low-cardinality columns (like gender, status, yes/no fields) and complex multi-column queries common in analytical processing. B-tree indexing is better suited for OLTP systems with high-cardinality data, while vector indexing and join indexing are not standard indexing techniques used in data warehouses.