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


A) decision support system
B) portal
C) data warehouse
D) dashboard

E) A) and B)
F) None of the above

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_____ are quantifiable measurements (numeric or scale based)that assess a company's effectiveness or success in reaching its strategic and operational goals.

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Key performance indi...

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


A) schemas
B) attributes
C) metrics
D) dimensions

E) A) and B)
F) A) and C)

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_____ online analytical processing provides OLAP functionality by using relational databases and familiar relational query tools to store and analyze multidimensional data.

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


A) usability
B) dimensionality
C) transaction processing
D) sparsity

E) A) and B)
F) C) and D)

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


A) unique
B) duplicated
C) optimized
D) sorted

E) All of the above
F) A) and B)

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What is the difference between decision support data and operational data from the point of view of data analyst?

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From a data analyst's point of view,deci...

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

A) True
B) False

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Multidimensional data analysis techniques include advanced computational functions.

A) True
B) False

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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.

A) True
B) False

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


A) table-like
B) matrix-like
C) network-like
D) cube-like

E) A) and B)
F) C) and D)

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


A) decomposition
B) de-normalization
C) normalization
D) aggregation

E) A) and B)
F) None of the above

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is a term used to describe a comprehensive,cohesive,and integrated set of tools and processes used to capture,collect,integrate,store,and analyze data with the purpose of generating and presenting information used to support business decision making.

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Business i...

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


A) transaction
B) database
C) table
D) concept

E) All of the above
F) A) and B)

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A(n)_____ is a read-only database optimized for data analysis and query processing.

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

A) True
B) False

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


A) snowflake
B) online analytical processing
C) decision support database
D) multidimensional database

E) None of the above
F) A) and D)

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


A) keys
B) relationships
C) cubes
D) dimensions

E) All of the above
F) C) and D)

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What is data visualization? Name different techniques of data visualization.

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Data visualization is the abstracting of...

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To support a(n)_____ adequately,the DBMS might be required to support advanced storage technologies,and even more importantly,to support multiple-processor technologies,such as a symmetric multiprocessor (SMP)or a massively parallel processor (MPP).

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VLDB very large data...

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