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
data administration
used for backup and recovery, secuirty, and change management used to determine permissions to create, read, update and delete (CRUD)
26
database administrators (DBAs)
handle db design and mgmt est security measures develop recvoery procedures evaluate db performance add and fine tune db functions
27
distributed database management system (DDBMS)
stores data on multiple servers throughout an org
28
setting up a DDBMS
fragmentation: how tables are divided among multiple locations replication: each site stores a copy of the data allocation: combines fragmentation and replication
29
object oriented databases
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
data warehouse
collection of data from a variety of sources used to support decision-making applications used to generate BIc
31
characteristics of data in a data warehouse
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
collection of info stored as:
- raw data: info given in itd original form - summary data: gives users subtotals of various vategories
33
data warehouses use these to generate reports
- online transactiom processing (OLTP) - online analytical processing (OLAP)
34
data mining analysis
used to discover patterns and relationships
35
text mining
used to analyze vast amounts of textual info
36
data mart
smaller versions of data warehouse
37
data lake
gather and stores data in its original format in a central location
38
business analytics
descriptive, predictive, prescriptive
39
five dimensions
volume, varietym veloctiy, varacity and value