w12d1 Flashcards

1
Q

Databases are designed to suppor

A

day to day activities

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2
Q

Relational databases help to support

A
data integrity
data sharability
data availability
data evolvability
avoiding redundency
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3
Q

Relational databases are composed of

A

tables of attributes

relationships

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4
Q

Temporal Data

If you keep track of everything

A

You might have a lot of old data that is not needed

  • to support day to day organizations
  • especially in large organizations
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5
Q

seperate history files and current data files might keep

and are less efficient for _____

A

a lot of old data that is seldom needed

dealing with temporal data

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6
Q

analyzing historical data can be useful for

A

planning for the future

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7
Q
Historic data is limited to
contains
is not relevant to 
should be separated from relevant data to
is the focus of 
And might be dealt with by
A
the past
facts
day to day activities
improve processing efficiency
ISO/IEC 13249-7
A database management system
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8
Q

Temporal data contains
is needed for
Should not be separated from
Is not dealt with by an

A

past, present and future ….. facts plans and other data
day to day activities
other current data
ISO standard - so is the responsiblity

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9
Q

Data warehouses can help

In a separate system that

A
  • meet the needs of analyzing historic data

- Avoids degrading the performance of the OLTP database and better supports analyzing the data

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10
Q

Data warehousing is

A

A subject-oriented, integrated, time-varient, and non-volatile collection of data in support of managements decision making process

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11
Q

Databases support

A

day to day transaction processing (Online transaction processing)

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12
Q

providing suitable performance

A

databases should not be slowed down,

Handling major analysis of exisitng data by techniques such as OLAP, data mining

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13
Q

Olap processing requires

A

Seperate resources

  • storage of a copy of the data
  • processing that can handle large
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14
Q

OLAP

A

Temporal data that may not be required by OLTP

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15
Q

Data warehouses are developed to

A

support olap, data mining and related processing

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16
Q

Data warehousing fundamentals

A

integrated by subject (topic of interest to organization)

 - organization level integration
 - may involve some gaps to put it together

Temporal and non-volatile

 - keep track of all versions of data
       - the periods for which they were valid

Data in a data warehouse
- is not added to or changed

Structure for ease of analysis
- store results of as many joins as possible