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This chapter focuses on data warehouse data model tuning techniques.
In a field study to explore influences on data warehouse refresh policies, we interviewed data warehouse administrators from 13 organizations about data warehouse details and organizational background.
It describes how to build data warehouse data models and how to relate data warehouse entities to each other.
A data warehouse should be as large as possible.
Due to the principal role of Data warehouses (DW) in making strategy decisions, data warehouse quality is crucial for organizations.
This paper proposes a new distributed data warehouse model.
The resulting architecture is called active data warehouse.
OLAP is a service that overlays the data warehouse.
I/O is very important in the data warehouse database.
Use the same core criteria to evaluate data warehouse appliances as traditional data warehouse approaches.
But the data warehouse was hand-crafted.
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