A data warehouse is designed for analytical workloads (OLAP) , not transactional workloads (OLTP).
It integrates data from multiple sources and supports complex queries, aggregations, and reporting for decision-making.
A. storage for transactional LOB apps → describes OLTP (e.g., SQL Server, Azure SQL Database), not a data warehouse.
B. transformation services → describes ETL/ELT pipelines (e.g., Data Factory), not the warehouse itself.
C. read-only storage of historical data → partially true but too narrow; the key feature is analytics, not just storage.
D. answers to complex queries across multiple sources → Correct and complete definition.
Correct Answer: D
[Reference: What is a data warehouse?, , , ]
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