Database Systems - Chapter 1

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48 Terms

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Data

raw facts that have not been processed to reveal their meaning to end users, building blocks of information, used for data management

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information

produced by processing raw data to reveal its meaning, requires context, used for knowledge, should be accurate, relevant, and timely to enable good decision making.

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end-user data

raw facts of interest to end users

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metadata

data about data, through white end-user data are integrated and managed. describe data characteristics and the set of relationships that links the data found within the database

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Database management system (DBMS)

a collection of programs that manage the database structure and controls access to the data stored in the database.

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DBMS

What acts as the intermediary between user and the database, allows data to be shared, presents the end user with an integrated view of the data, receives/translates application requests into operations required to fulfill the request, and hides database’s internal complexity from the application programs and users?

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data inconsistency

different versions of the same data appear in different places

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data quality

a comprehensive approach to promoting accuracy, validity, and timeliness of data

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single-user database

database that supports one user at a time

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desktop database

database that runs on pc

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multiuser database

supports multiple users at the same time

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workgroup databases

databases that support a small number of users or a specific department within an organization

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enterprise database

supports many users across many departments

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centralized databases

databases that store data in a single location, allowing for easier management and access by users.

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distributed database

a database that is spread across multiple physical locations, allowing for data to be stored and accessed in various sites while maintaining a unified system.

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cloud database

a database that is created and maintained using cloud data services that provide defined performance measures for the database, such as Amazon AWS

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general-purpose database

database that contains a wide variety of data used in multiple disciplines

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discipline-specific database

database that contains data focused on specific subject areas

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operational database

designed to support a company’s day-to-day operations; aka an online transaction processing (OLTP) database, transactional database, or production database

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analytical database

database that stores historical data and business metrics used exclusive for tactical or strategic decision making

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data warehouse

stores data in a format optimized for decision support

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online analytical processing front-end

tools for retrieving, processing, and modeling data from the data warehouse

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business intelligence

captures and processes business data to generate information that supports decision making

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unstructured data

data that exists in their original raw state

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structured data

the results of formatting unstructured data to facilitate storage, use, and the generation of information. structure is applied based on the type of processing to be performed

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semistructured data

data that has been process to some extent

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extensible markup language (XML)

special language used to represent and manipulate data elements in a textual format, supports the storage and management of semistructured XML data

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manual file systems

file systems accomplished through a system of file folders and filing cabinets

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computerized file systems

file systems where a data processing specialist used a computer-based system that would track data and produce required reports

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file system redux

file system that includes spreadsheet programs such as Microsoft Excel

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field

a character or group of characters that has a specific meaning, used to define and store data

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record

a logically connected set of one or more fields that describes a person, place, or thing

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file

a collection of related records

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file system data processing

what has the following cons: lengthy development times, difficulty of getting quick answers, complex system administration, lack of security and limited data sharing, extensive programming?

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structural dependence

access to a file that is dependent on its structure, all file system programs are modified to conform to a new file structure

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structural independence

file structure is changed without affecting the application’s ability to access the data

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data dependence

when data access changes when data storage characteristics change

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data independence

data storage characters can be changed without affecting the program’s ability to access the data

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data redundancy

unnecessarily storing same data at different places

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islands of information

scattered data locations, increases the probability of having different versions of the same data

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data anomaly

develops when not all of the required changes in the redundant data are made successfully

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update, insertions, deletion

what are the three types of data anamolies?

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data dictionary

stores definitions of data elements and their relationships

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performance tuning

ensures efficient performance of the database in terms of storage and access speed

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query language

Lets the user specify what must be done without having to specify how

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structured query language

De facto query language and data access standard supported by the majority of DBMS vendors

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database communication interfaces

Accept end-user requests via multiple, different network environments

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database systems

what comes with the disadvantaged of increased costs, management complexity, maintaining currency, vendor dependence, and frequent upgrade/replacement cycles