Mis Final Flashcards

1
Q

Big data

A

Data so voluminous that conventional computing methods are not able to efficiently process and manage it

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2
Q

Business analytics

A

Uses data and statistical methods to gain insight into the data and provide decision makers with information they can act on

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3
Q

Data dictionary

A

Stores definitions, such as data types for fields, default values and validation rules for data in each field

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4
Q

Data hierarchy

A

The structure and organization of data, which involves fields, records and files

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5
Q

Data mart

A

Usually a smaller version of a data warehouse, used by a single department or function

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6
Q

Data model

A

Determines how data is created, represented, organized, and maintained. It usually contains data structure, operations, and integrity rules

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7
Q

Data warehouse

A

A collection of data from a variety of sources used to support decision making applications and generate business intelligence

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8
Q

Data driven web site

A

Acts as an interface to a database, retrieving data for users and allowing users to enter data in a database

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9
Q

Data mining analysis

A

Used to discover patterns and relationships

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10
Q

Database

A

A collection of related data that is stored in a central location or in multiple locations

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11
Q

Database administrator

A

Found in large organizations, design and set up databases, establish security measures, develop recovery procedures, evaluate database performances and add fine tune database functions

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12
Q

Database management system

A

Software for creating, storing, maintains and accessing database files. A DBMS makes using databases more efficient

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13
Q

Distributed database management system (DDBMS)

A

Stores data on multiple servers throughout an organization

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14
Q

Extractions, transformation and loading (ETL)

A

The processes used in a data warehouse . It includes extracting data from outside sources, transforming it to fit operational needs, and loading it into the end target (database or data warehouse)

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15
Q

Foreign key

A

A field in a relational table that matches the primary key column of another table. It can be used to cross reference tables

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16
Q

Fragmentation

A

Addresses how tables are divided among multiple locations. There are three variations: horizontal, vertical, and mixed

17
Q

Normalization

A

Improves databases efficiency by eliminating redundant data and ensuring that only related data is stored in a table

18
Q

Logical view

A

How information appears to users and how it can be organized and retrieved

19
Q

Physical view

A

Involved how data is stored on and retrieved from storage media such as hard disks, magnetic tapes or cds

20
Q

Primary key

A

Uniquely identifies every record in a relational database. Examples include student ID numbers, account numbers, social security numbers and invoice numbers

21
Q

Query by example (QBE)

A

You request data from a database by constructing a statement made up of query forms. With current graphical databases, you simply click to select query forms instead of having to remember keywords, as you do with SQL. You can add AND, OR, and NOT operators to the QBE form to fine tune the query

22
Q

Relational model

A

Uses a two-dimensional table of rows and columns of data. Rows and records (also called tuples) and columns are fields (also referred to as attributes)

23
Q

Structured query language (SQL)

A

A standard fourth-generation query language used by many DBMS packages, such as oracle 11g and Microsoft SQL server. SQL consists of several key words specifying actions to take

24
Q

Variable cell

A

An input cell whose values solver changes in order to reach a solution for the objective cell (EX 630)

25
Variable expense
An expense that changed in proportion to the volume of production