Information and organizations chapter 3 terms

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Description and Tags

50 Terms

1

Database

An organized collection of data

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2

Database management system (DBMS)

is a group of programs that: o Manipulate the database o Provide an interface between the database and its users and other application programs

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3

bit

represents a circuit that is either on or off

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byte

is made up of eight bits

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Field

A name, number, or combination of characters that describes an aspect of a business object or activity

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Record

A collection of related data fields

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File

a collection of related records

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Hierarchy of data

bits, characters, fields, records, files, and databases

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Entity

a person, place, or thing for which data is collected, stored, and maintained

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Attribute

a characteristic of an entity

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Data item

the specific value of an attribute

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Primary key

a field or set of fields that uniquely identifies the record

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Content

what data should be collected? cost?

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Access

what data should be provided to which users and when?

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Logical structure

how should data be arranged so that it makes sense?

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Physical organization

where should data be physically located?

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Archiving

how long to store?

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Security

how can data be protected?

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Data model

a diagram of data entities and their relationships

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Enterprise data modeling

data modeling done at the level of the entire enterprise

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Entity-relationship diagrams

data models that use basic graphical symbols to show the organization of and relationships between data

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Relational model

a simple but highly useful way to organize data into collections of two-dimensional tables called relations

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Domain

range of allowable values for a data attribute

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Selecting

eliminating rows according to certain criteria

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Projecting

eliminating columns in a table

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Joining

combining two or more tables

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Linking

combining two or more tables through common data attributes to form a new table with only the unique data attributes

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Data Cleansing

The process of detecting and then correcting or deleting incomplete, incorrect, inaccurate, irrelevant records that reside in a database

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Data validation

Which involves the identification of “bad data” and its rejection at the time of data entry

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Relational Database Management Systems

Creating and implementing the right database system ensures that the database will support both business activities and goals

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SQL Databases

a special-purpose programming language for accessing and manipulating data stored in a relational database

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Schema

a description of the entire database

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Data definition language

A collection of instructions and commands used to define and describe data and relationships in a specific database

Allows the database’s creator to describe data and relationships that are to be contained in the schema

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Data dictionary

a detailed description of all the data used in the database

Can also include a description of data flows, information about the way records are organized, and the data-processing requirements

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Query by Example (QBE)

is a visual approach to developing database queries or requests

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Data manipulation language (DML)

a specific language, provided with a DBMS

Allows users to access and modify the data, to make queries, and to generate reports

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Database administrators (DBAs)

skilled and trained IS professionals

o Works with users to define their data needs o Applies database programming languages to craft a set of databases to meet those needs o Tests and evaluates databases o Implements changes to improve their databases’ performance o Assures that data is secure from unauthorized access

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Data administrator

a nontechnical position responsible for defining and implementing consistent principles for a variety of data issues

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Database as a Service (DaaS)

The database is stored on a service provider’s servers

o The database is accessed by the client over a network, typically the Internet o Database administration is handled by the service provider

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Three characteristics of big data

o Volume o Velocity o Variety

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Data management

o An integrated set of functions that defines the processes by which data is obtained, certified fit for use, stored, secured, and processed in such a way as to ensure that the accessibility, reliability, and timeliness of the data meet the needs of the data users within an organization

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Data governance

o Defines the roles, responsibilities, and processes for ensuring that data can be trusted and used by an entire organization

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Data lifecycle management (DLM)

A policy-based approach to managing the flow of an enterprise’s data

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Data warehouse

a large database that collects business information from many sources in the enterprise in support of management decision making

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ETL process

o Extract o Transform o Load

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Data mart

a subset of a data warehouse that is used by small- and mediumsized businesses and departments within large companies to support decision making

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Data lake

takes a “store everything” approach to big data, saving all the data in its raw and unaltered form

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Hadoop

o An open-source software framework that includes several software modules that provide a means for storing and processing extremely large data sets

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Two primary components of a Hadoop

o A data processing component (MapReduce) o A distributed file system (Hadoop Distributed File System, HDFS)

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In-memory database (IMDB)

A database management system that stores the entire database in random access memory (RAM) o Provides access to data at rates much faster than storing data on some form of secondary storage o Enables the analysis of big data and other challenging data-processing applications o Performs best on multiple multicore CPUs

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