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DAC1 Comp 3

WGU DAC1 Information Systems Management Competency 3

TermDefinition
database maintain 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
query-by-example (QBE) tool helps users graphically design the answer to a question against a database
structured query language (SQL) users write lines of code to answer questions against a database
data element / data field the smallest or basic unit of information in a database
data models a formal way to express data relationships to a database management system (DBMS)
metadata details about data
data dictionary compiles all of the metadata about the data elements in the data model
relational database model a type of database that stores information in the form of logically related two-dimensional tables
relational database management system a system that allows users to create, read, update, and delete data in a relational database
entity / table in the relational database model, a person, place, thing, transaction, or event about which information is stored
attributes / columns / fields characteristics or properties of an entity
record a collection of related data elements
primary key a field (or group of fields) that uniquely identifies a given entity in a table
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
physical view of information the physical storage of information on a storage device such as a hard disk
logical view of information focuses on how users logically access information to meet their particular business needs
information redundancy the duplication of data, or the storage of the same data in multiple places
information integrity a measure of the quality of information
integrity constraints the rules that help ensure the quality of information
relational integrity constraints the rules that enforce basic and fundamental information-based constraints
business rule defines how a company performs a certain aspect of its business and typically results in either a yes/no or true/false answer
business-critical integrity constraint enforces business rules vital to an organization's success and often requires more insight and knowledge than relational integrity constraints
increased flexibility, increased scalability and performance, reduced information redundancy, increased information integrity, increased information security Relational Database Advantages
integration allows separate systems to communicate directly with each other
forward integration takes information entered into a given system and sends it automatically to all downstream systems and processes
backward integration takes information entered into a given system and sends it automatically to all upstream systems and processes
data warehouse a logical collection of information- gathered from many different databases- that supports business analysis activities and decision-making tasks
extraction, transformation, and loading (ETL) a process that extracts information from internal and external databases, transforms the information using a common set of enterprise definition, and loads the information into a data warehouse
data mart contains a subset of data warehouse information
cube the common term for the representation of multidimensional information
data mining the process of analyzing data to extract information not offered by the raw data alone
data-mining tools uses a variety of techniques to find patterns and relationships in large volumes of information and infer rules from then that predict future behavior and guide decision making
information cleansing or scrubbing a process that weed out and fixes or discards, inconsistent, incorrect, or incomplete information
informing accessing large amounts of data from different management information systems
infographics displays information graphically so it can be easily understood
data visualization describes technologies that allow users to "see" or visualize data to transform information into a business perspective
data visualization tools moves beyond Excel graphs and charts into sophisticated analysis techniques such as pie charts, controls, instruments, maps, time-series graphs, etc.
business intelligence dashboards tracks corporate metrics such as critical success factors and key performance indicators and includes advance capabilities such as interactive controls, allowing users to manipulate data for analysis
Created by: csmi384
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