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Intro to IT- Management Chapter 5

by: Bailee Gustafson

Intro to IT- Management Chapter 5 Bus Adm 230

Marketplace > University of Wisconsin - Milwaukee > Business > Bus Adm 230 > Intro to IT Management Chapter 5
Bailee Gustafson

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About this Document

These notes cover what we learned before spring break. The quiz isn't due until Tuesday but these are the notes for it.
Intro to Info Technology Management
George S. Nezlek, PhD
Class Notes
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This 3 page Class Notes was uploaded by Bailee Gustafson on Sunday March 20, 2016. The Class Notes belongs to Bus Adm 230 at University of Wisconsin - Milwaukee taught by George S. Nezlek, PhD in Spring 2016. Since its upload, it has received 13 views. For similar materials see Intro to Info Technology Management in Business at University of Wisconsin - Milwaukee.


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Date Created: 03/20/16
Chapter 5: Database Systems and Applications  Database: o Organized collection of data  Database Management System (DBMS): o Manipulates the database and provides an interface between the database and its users and other application programs  Field: o A name, number, or combination of characters that describes an aspect of a business object or activity  Record: o Collection of related data fields  File: o Collection of related records  Hierarchy of Data: o Bits, bytes, fields, records, files and databases  Entity: o Person, place or thing for which data are collected, stored and manipulated  Attribute: o Characteristic of an entity  Data Item: o Specific value of an attribute  Primary Key: o Field or set of fields that uniquely identifies the record  Data Model: o Diagram of entities and their relationships  Enterprise Data Modeling: o Data modeling done at the level of the entire enterprise  Entity-Relationship (ER) Diagrams: o Data model that use basic graphical symbols to show the organization of relationships between data  Relational Model: o Simple but highly useful way to organize data into collections of two-dimensional tables called relations  Domain: o Range of allowable values for a data attribute  Selecting: o Eliminating rows according to certain criteria  Projecting: o Eliminating columns in a table  Joining: o Combining two or more tables  Linking: o Combining two or more tables through common data attributes to form a new table with only the unique data attributes  SQL: o Special-purpose programing language for accessing and manipulating data stored in a relational database  Visual Database: o Stores images of charge slips, X-rays and vital records  Spatial Database: o Provides location-based services  Schema: o Description of entire database  Data Definition Language (DDL): o Collection of instructions and commands used to define and describe data and relationships in a specific database  Data Dictionary: o Detailed description of all data used in database  Data Manipulation Language (DML): o Specific language provided with a DBMS  Database Administration (DBA): o Skilled and trained IS professional  Data Administrator: o Nontechnical position responsible for defining and complementing consistent principles for a variety or data issues  Data Warehouse: o Large database that collects business information from many sources in the enterprise in support of management decision making  Data Mart: o Subset of a data warehouse that is used by small and medium sized businesses and departments within large companies to support decision making  Key Performance Indicator (KPI): o Quantifiable measurements that assess progress toward organizational goals and reflect the critical success factors of an organization  Dashboard: o Data visualization tool that displays current status of the KPIs for an organization


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