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47 Cards in this Set

  • Front
  • Back
Application generation component
Includes tools for creating visually appealing and easy-to-use applications.
Association detection
Reveals the degree to which variables are related and the nature and frequency of these relationships in the information.
Characteristics or properties of an entity class.
Backward integration
Takes information entered into a given system and sends it automatically to all upstream systems and processes.
Business intelligence
Information that people use to support their decision-making efforts.
Business-critical integrity constraint
Enforces business rules vital to an organization's success and often requires more insight and knowledge than relational integrity constraints.
Cluster analysis
A technique used to divide an information set into mutually exclusive groups such that the members of each group are as close together as possible to one another and the different groups are as far apart as possible.
The common term for the representation of multidimensional information.
Raw facts that describe the characteristics of an event.
Data administration component
Provides tools for managing the overall database environment by providing facilities for backup, recovery, security, and performance.
Maintains information about various types of objects (inventory), events (transactions), people (employees), and places (warehouses)
Database management system (DBMS)
Software through which users and application programs interact with a database.
Data definition component
Helps create and maintain the data dictionary and the structure of the database.
Data dictionary
A files that stores definitions of information types, identifies the primary and foreign keys, and maintains the relationships among the tables.
Data manipulation component
Allows users to create, read, update, and delete information in a database.
Data mart
Contains a subset of data warehouse information.
Data mining
The process of analyzing data to extract information not offered by the raw data alone.
Data-mining tool
Uses a variety of techniques to find patterns and relationships in large volumes of information and infer rules from them that predict future behavior and guide decision making.
Data warehouse
A logical collection of information--gathered from many different operational databases--that supports business analysis activities and decision-making tasks.
In the relational database model is a person, place, thing, transaction, or event about which information is stored.
Entity class
In the relational database model is a collection of similar entities.
Extraction, transformation, and loading (ETL)
A process that extracts information from internal and external databases, transforms the information using a common set of enterprise definitions, and loads the information into a data warehouse.
Predictions made on the basis of time-series information.
Foreign key
A primary key of one table that appears as an attribute in another table and acts to provide a logical relationship between the two tables.
Forward integration
Takes information entered into a given system and sends it automatically to all downstream systems and processes.
Hierarchical database model
Information is organized into a tree-like structure that allows repeating information using parent/child relationships, in such a way that it cannot have too many relationships.
Data converted into a meaningful and useful context.
Information cleansing or scrubbing
A process that weeds out and fixes or discards inconsistent, incorrect, or incomplete information.
Information granularity
Refers to the extent of detail within the information (fine and detailed or "course" and abstract information)
Information integrity
A measure of the quality of information.
Allows separate systems to communicate directly with each other.
Integrity constraint
The rules that help ensure the quality of information
Logical view
Focuses on how users logically access information to meet their particular business needs.
Market basket analysis
Analyzes such items as Web sites and checkout scanner information to detect customers' buying behavior and predict future behavior by identifying affinities among customers' choices of products and services.
Network database model
A flexible way of representing objects and their relationships.
Occurs when a Web site can know enough about a person's likes and dislikes that it can fashion offers that are more likely to appeal that person.
Physical view
The physical storage of information on a storage device such as a hard disk.
Primary key
A field (or group of fields) that uniquely identifies a given entity in a table.
Query-by-example (QBE)
Allows users to graphically design the answers to specific questions.
The duplication of information, or storing the same information in multiple places.
Relational integrity constraint
The rules that enforce basic and fundamental information-based systems.
Relational database model
A type of database that stores information in the form of logically related two-dimensional tables.
Report generator
Allows users to define formats for reports along with what information they want to see in the report.
Refers to how well a system can adapt to increased demands.
Structured query language (SQL)
A standardized fourth-generation query language found in most DBMSs.
Time-series information
Time-stamped information collected at a particular frequency.
Allows users to see the contents of a database, make any required changes, perform simple sorting, and query the database to find the location of specific information.