module 3 Flashcards

1
Q

database

A

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

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2
Q

data hierarchy

A

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

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3
Q

database management system (DBMS)

A

software for creating, sorting, maintaining and accessing database files

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4
Q

internal data

A

stored in the organizations internal databases and can be used by functional info systems
ex: transactions, sales, personnel records

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5
Q

external data

A

stored in a data warehouse
ex: competitors, cxs, tax records

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6
Q

sequential access file structure

A

records are organized and processed in a numerical or sequential order
records are organized based on a primary key
used for backup and archive files
typically stored on magnetic tape

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7
Q

random access file structure

A

records can be accessed in any order, regardless of their physical locations in storage media
fast and very effective when a small number or records need to be processed daily or weekly
records are stored on magnetic disks to achieve speed

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8
Q

indexed sequential access method (ISAM)

A

records accessed sequentially or randomly, depending on the amount
- random access: small numbers of records
- sequential access: large number of records

uses an index structure with two parts
- indexed value
-pointer to the desk location of the record matching the indexed value

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9
Q

physical view

A

how data is stored on and retrieved from storage media (hard disks and magnetic tapes)

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10
Q

logical view

A

how info appears, and is organized and retrieved

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11
Q

data model

A

determines how data is created, represetned, organized and maintained

  • data structure
  • operations
  • integrity rules
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12
Q

hierarchical model

A

relationships (or branches) between records (or nodes)

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13
Q

network model

A

similar to hierarchical model but organized differently
each record can have multiple parent and child records

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14
Q

relation model

A

uses a 2d table table or rows and columns of data

rows are records
columns are fields

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15
Q

data dictionary

A

stores definitions

field name, field data type, default value and validation rule

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16
Q

primary key

A

uniquely identifies every record

17
Q

foreign key

A

a key of a child table that links to primary key of parent table
used to establish relationship between tables

18
Q

normalization

A

eliminates redundant data
ensures only related data is stored in a table
first normal form (1NF) to fifth normal form (5NF)

19
Q

operations

A

process in which data is retrieved from tables
common operations: select, project, join, intersect, union, and difference

20
Q

DBMS software components

A

database engine
data definition
data manipulation
application generation
data administration

21
Q

database engine

A

responsible for data storage, manipulation and retrieval

22
Q

data definition

A

creates and maintains the data dictionary
defines the structure of files in a database

23
Q

data manipulation

A

used to add, delete, modify and retrieve records
query languages like structured query language (SQL)a

24
Q

application generation

A

used to create designs elements of an application

25
Q

data administration

A

used for backup and recovery, secuirty, and change management
used to determine permissions to create, read, update and delete (CRUD)

26
Q

database administrators (DBAs)

A

handle db design and mgmt
est security measures
develop recvoery procedures
evaluate db performance
add and fine tune db functions

27
Q

distributed database management system (DDBMS)

A

stores data on multiple servers throughout an org

28
Q

setting up a DDBMS

A

fragmentation: how tables are divided among multiple locations
replication: each site stores a copy of the data
allocation: combines fragmentation and replication

29
Q

object oriented databases

A

data and thier relationships are contained in a single object

encapsulation: grouping objects withing their attributes and ethofs
inheritance: new objects can be created faster and more easily by entering new data in attributes

30
Q

data warehouse

A

collection of data from a variety of sources

used to support decision-making applications
used to generate BIc

31
Q

characteristics of data in a data warehouse

A

subjected oriented - focused on specific area
integrated - comes from a variety of sources
time variant - categorized based on time
type of data - captures aggreted data
purpose - used for analytical purposes

32
Q

collection of info stored as:

A
  • raw data: info given in itd original form
  • summary data: gives users subtotals of various vategories
33
Q

data warehouses use these to generate reports

A
  • online transactiom processing (OLTP)
  • online analytical processing
    (OLAP)
34
Q

data mining analysis

A

used to discover patterns and relationships

35
Q

text mining

A

used to analyze vast amounts of textual info

36
Q

data mart

A

smaller versions of data warehouse

37
Q

data lake

A

gather and stores data in its original format in a central location

38
Q

business analytics

A

descriptive, predictive, prescriptive

39
Q

five dimensions

A

volume, varietym veloctiy, varacity and value