ch 13 4620

The CUBE extension enable you to get a grand total for each column listed in the expression

False

The ROLLUP extension is used with the GROUP BY clause to generate aggregates by the listed columns, including the last one.

False

Tools focus on the strategic and tactical use of information.

Business intelligence

__ can serve as a test vehicle for companies exploring the potential benefits of data warehouses.

Data marts

__ are in charge of presenting data to the end user in a variety of ways.

Data visualization tools

__ extends SQL so that it can differentiate between access requirements for data warehouse data and operational data.

ROLAP

A data store is used by data analyst to create queries that access the database.

False

A data warehouse designer must define common business dimensions that will be used by a data analyst to narrow a search, group information, or describe attributes.

False

By default, the fact table's primary key is always formed by combining the superkeys pointing to the dimension tables to which they are related.

False

Data warehouse data are organized and summarized by table, such as CUSTOMER and ADDRESS

False

Master data management's main goal is to provide a partial and segmented definition of all data within an organization

False

Normalizing fact tables improves data access performance and saves data storage space.

False

Operational data and decision support data serve the same purpose.

False

Queries against operational data typically are broad in scope and high in complexity.

False

Relational data warehouses use multidimensional data schema support to handle multidimensional data

False

A star schema is designed to optimize data query operations rather than data update operations.

True

Advanced OLAP feature become more useful when access to them is kept simple.

True

Business Intelligence (BI) architecture is composed of data, people, processes, technology, and the management of such components.

True

Business intelligence is a framework that allows a business transform data into information, information into knowledge, and knowledge into wisdom.

True

Decision support data are a a snapshot of the operational data at a given point in time.

True

Multidimensional data analysis techniques include advanced advanced computational functions.

True

Periodicity, usually expressed as current year only, previous years, or all years, provides information about the time span of the data stored in a table.

True

ROLAP and MOLAP vendors are working toward the integration of their respective solutions within a unified decision support framework.

True

The data warehouse development life cycle differs from classical systems development

True

The data warehouse development life cycle differs from classical systems development.

True

To provide better performance, some OLAP systems merge data warehouse and data mart approaches by storing small extracts of the data warehouse at end-user workstations.

True

The attribute hierarchy provides a top-down data organization that is used for two main purposes:_____ and drill-down/roll-up data analysis.

aggregation

A __ index is based on 0 and 1 bits to represent a given condition.

bitmapped

Conceptually, MDBMS end users visualize the stored data as a three-dimensional cube known as a __.

data cube

A __ is optimized for decision support and is generally represented by a data warehouse or a data mart.

data store

Which of the following is a personal analytics vendor for BI applications?

MicroStrategy

_____ splits a table into subsets of rows or columns and places the subsets close to the client computer to improve data access time.

Partitioning

__ provide a unified, single point of entry for information Distribution.

Portals

Bill Inmon and Chuck Kelley created a set of 12 rules to define a(n) __ .

data warehouse

In business intelligence framework, data are captured from a production system and placed in the____ on a near real- time basis.

data warehouse

The __ schema must support complex (non-normalized) data representations.

decision support database

From a data analyst's point of view, decision support data differ from operational data in three main areas: time span, granularity, and __.

dimensionality

The basic star schema has four components: facts, __ , attributes, and attribute hierarchies.

dimensions

Decision support data tend to be non-normalized, __ , and pre-aggregated.

duplicated

Fact and dimension tables are related by __ keys.

foreign

Data __ implies that all business entities, data elements, data characteristics, and business metrics are described in the same way throughout the enterprise.

integration

In star schema representation, a fact table is related to each dimension table in a relationship.

many-to-one (M:1)

A _____ is a dynamic table that not only contains the SQL query command to generate the rows, but also stores the actual rows.

materialized view

A multidimensional database management systems (MDBMS) uses __ proprietary techniques to store data in n-dimensional arrays

matrix-like

Computed or derived facts, at run time, are sometimes called to differentiate them from stored facts.

metrics

The reliance on __ as the design methodology for relational databases is seen as a stumbling block to its use in OLAP systems.

normalization

A __ schema is a type of star schema in which dimension tables can have their own dimension tables.

snowflake

Operational data are commonly stored in many tables, and the stored data represent information about a given __ only.

transaction

In a star schema, attributes are often used to search, filter, or classify .

true

In a typical star schema, each dimension record is related to thousands of records.

true