Data warehousing

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Advances in computer hardware, particularly the emergence of affordable mass storage and parallel computer architectures, was one of the key advances that led to the emergence of data warehousing.

True

A dependent data mart is filled from the enterprise data warehouse and its reconciled data.

T

An enterprise data warehouse is the control point and single source of all data made available to end users for decision support applications.

T

An enterprise data warehouse that accepts near-real time feeds of transactional data and immediately transforms and loads the appropriate data is called a real-time data warehouse.

T

An event is a database action that results from a transaction.

T

An independent data mart is filled with data extracted from the operational environment without the benefit of a data warehouse.

T

A data mart is a data warehouse that contains data that can be used across the entire organization.

F

A fact table holds descriptive data about the business.

F

A separate data warehouse causes more contention for resources in an organization. Answer: FALSE

F

Independent data marts do not generally lead to redundant data and efforts.

F

Logical data marts are physically separate databases from the enterprise data warehouse.

F

Operational metadata are derived from the enterprise data model.

F

Reconciled data are data that have been selected, formatted, and aggregated for end-user decision support applications.

F

The development of the relational data model did not contribute to the emergence of data warehousing.

F

The representation of data in a graphical format is called data mining.

F

The status of data is the representation of the data after an event has occurred.

F

Transient data are never changed.

F

When multiple systems in an organization are synchronized, the need for data warehousing increases.

F

A corporate information factory (CIF) is a comprehensive view of organizational data in support of all user data requirements.

T

Drill-down involves analyzing a given set of data at a finer level of detail.

T

Informational systems are designed to support decision making based on historical point-in- time and prediction data.

T

Organizations adopt data mart architectures because it is easier to have separate, small data warehouses than to get all organizational parties to agree to one view of the organization in a central data warehouse.

T

Periodic data are data that are never physically altered or deleted once they have been added to the store.

T

Rule discovery searches for patterns and correlations in large data sets.

T

Scalable technology is critical to a data mart.

T

The enterprise data model controls the phased evolution of the data warehouse.

T

The need for data warehousing in an organization is driven by its need for an integrated view of high-quality data.

T


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