3. DATABASE ADMINISTRATION
Role of the database administrator (DBA): plan,
design, create, operate, secure, monitor, and
maintain databases
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DBA works with both users and programmers
A data administrator is responsible for defining
and implementing consistent principles for a
variety of data issues, including setting data
standards and data definitions; a nontechnical
position
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4. POPULAR DATABASE
MANAGEMENT SYSTEMS
Popular DBMSs for end users include Microsoft’s
Access and FileMaker Pro
Complete database management software
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market includes:
Softwarefor professional programmers
Databases for midrange, mainframe, and
supercomputers
Examples of open-source database systems:
PostgreSQL and MySQL
Many traditional database programs are now
available on open-source operating systems
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5. SPECIAL-PURPOSE DATABASE
SYSTEMS
Some specialized database packages are used for
specific purposes or in specific industries
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Israeli
Holocaust Database (www.yadvashem.org)
Hazmat database
Art and Antique Organizer Deluxe
Special-purpose database by Tableau can be used
to store and process visual images
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6. SELECTING A DATABASE
MANAGEMENT SYSTEM
Important characteristics of databases to
consider
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Database size
Database cost
Concurrent users
Performance
Integration
Vendor
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7. USING DATABASES WITH OTHER
SOFTWARE
DBMSs can act as front-end or back-end
applications
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Front-end applications interact directly with people
or users
Back-end applications interact with other programs
or applications
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8. DATABASE APPLICATIONS
Today’s database applications manipulate the
content of a database to produce useful
information
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Common manipulations are searching, filtering,
synthesizing, and assimilating the data
contained in a database using a number of
database applications
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9. LINKING DATABASES TO THE
INTERNET
Linking databases to the Internet is important
for many organizations and people
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Semantic Web
Developing a seamless integration of traditional
databases with the Internet
Allows people to access and manipulate a number of
traditional databases at the same time through the
Internet
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10. DATA WAREHOUSES, DATA MARTS,
AND DATA MINING
Data warehouse: database that collects
business information from many sources in the
enterprise, covering all aspects of the company’s
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processes, products, and customers
Data mart: subset of a data warehouse
Data mining: information-analysis tool that
involves the automated discovery of patterns and
relationships in a data warehouse
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11. DATA WAREHOUSES, DATA MARTS,
AND DATA MINING (CONTINUED)
Figure 5.17: Elements of a Data Warehouse
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12. DATA WAREHOUSES, DATA MARTS,
AND DATA MINING (CONTINUED)
Table 5.8: Common Data-Mining Applications
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13. BUSINESS INTELLIGENCE
Business intelligence (BI): process of
gathering enough of the right information in a
timely manner and usable form and analyzing it
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to have a positive impact on business strategy,
tactics, or operations
Turns data into useful information that is then
distributed throughout an enterprise
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14. BUSINESS INTELLIGENCE
(CONTINUED)
Competitive intelligence: aspect of business
intelligence limited to information about
competitors and the ways that knowledge affects
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strategy, tactics, and operations
Counterintelligence: steps an organization
takes to protect information sought by “hostile”
intelligence gatherers
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15. DISTRIBUTED DATABASES
Distributed database
Database in which the data may be spread across
several smaller databases connected via
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telecommunications devices
Gives corporations more flexibility in how databases
are organized and used
Replicated database
Database that holds a duplicate set of frequently
used data
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16. ONLINE ANALYTICAL PROCESSING (OLAP)
Software that allows users to explore data from a
number of different perspectives
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17. ONLINE ANALYTICAL PROCESSING
(OLAP) (CONTINUED)
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Table 5.9: Comparison of OLAP and Data Mining
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18. OBJECT-ORIENTED AND OBJECT-
RELATIONAL DATABASE MANAGEMENT
SYSTEMS
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Object-oriented database: database that stores both
data and its processing instructions
Method:procedure or action
Message: request to execute or run a method
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19. OBJECT-ORIENTED AND OBJECT-
RELATIONAL DATABASE MANAGEMENT
SYSTEMS (CONTINUED)
Object-oriented database management
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system (OODBMS): group of programs that
manipulate an object-oriented database and
provide a user interface and connections to other
application programs
Object-relational database management
system (ORDBMS): DBMS capable of
manipulating audio, video, and graphical data
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20. VISUAL, AUDIO, AND OTHER DATABASE
SYSTEMS
Databases for storing images
Databases for storing sound
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Virtual database systems: allow different
databases to work together as a unified database
system
Other special-purpose database systems
Spatial data technology: stores and accesses data
according to the locations it describes and permits
spatial queries and analysis
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21. SUMMARY
Database: a collection of integrated and related files
Hierarchy of data: bits, characters, fields, records,
files, and databases
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Key: a field or set of fields in a record that is used to
identify the record
Database approach to data management: a pool of
related data is shared by multiple application
programs
Data model: diagram of entities and relationships
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22. SUMMARY (CONTINUED)
Relational model: describes data in which all
elements are placed in two-dimensional tables
called relations
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Database management system (DBMS): group of
programs used as an interface between a
database and application programs or a database
and the user
Role of the database administrator (DBA): plan,
design, create, operate, secure, monitor, and
maintain databases
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23. SUMMARY (CONTINUED)
Data warehouse: database that collects business
information from all aspects of a company’s
processes, products, and customers
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Data mining: information-analysis tool for the
automated discovery of patterns and
relationships in a data warehouse
Object-oriented database: database that stores
both data and its processing instructions
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