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where information can be distributed.

How data resources should be secured.

which users and organizational units can share information.

which type of business intelligence tool should be used.

who is responsible for updating and maintaining information

Data governance

Data quality assurance

Data policy

Data definition

 Data scrubbing

Big data can reveal more patterns and interesting relationships than smaller data sets.

Big data are produced in much larger quantities and much more rapidly than traditional data.

Big data is finding many uses in the public sector.

Big data is characterized by the 3Vs: volume, variety, and velocity. 

Big data refers solely to data in the petabyte range.

It provides users with an integrated view of the data.

It prevents data from being altered retroactively.

It enables firms to create and verify transactions on a network very rapidly.

It enables the ability to use relational databases.

It allows administrators to manage data more effectively.

DBMS for midrange computers.

DBMS for both desktops and mobile devices.

DBMS for mobile devices.

Internet DBMS.

desktop relational DBMS.

Ability to couple program and data

Ability to minimize isolated files with repeated data

Ability to create two-dimensional tables

Ability to enforce referential integrity

Use of a data dictionary

Data inconsistency

Data duplication

Data redundancy

Data accuracy

Data normalization