Information and organizations chapter 3 terms

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50 Terms

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Database
An organized collection of data
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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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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