Information Systems and Databases Flashcards

1
Q

Relationship types (list)

A
  1. one-to-one
  2. one-to-many
  3. many-to-one
  4. many-to-many
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2
Q

One-to-one (example)

A

each individual has one passport

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3
Q

One-to-many (example)

A

one customer can have many sales orders (the most common one in RD !!)

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4
Q

Many-to-one (example)

A

many individuals can be part of one group project

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5
Q

Many-to-many (example)

A

many different students can be part of many different classes

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6
Q

Metadata

A

data that describes data, one example are data dictionaries !!

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7
Q

Data types (list)

A
  1. text
  2. short integer
  3. long integer
  4. decimal/fixed point
  5. real/float
  6. money/currency
  7. date/time
  8. binary/BLOB
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8
Q

Data validation

A

maintaining the correct format and correctness of data as soon as it is entered

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9
Q

Data verification

A

maintaining the relevancy and correctness of data after it has been entered (this includes regularly checking that the current data is up to date)

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10
Q

Data mining

A

the process of discovering non-obvious patterns within large collections of data

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11
Q

Data warehousing

A

compiling and organising data into one common database

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12
Q

BYODs, using from home (issues)

A

data security:
1. confidential information about individuals in database can be leaked to family members

Other:
1. Lack of effective communication with others.

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13
Q

Database security measures

A
  1. encryption
  2. managing access to data
  3. firewalls
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14
Q

Data Dictionary (list fields)

A
  1. Field name
  2. Data type
  3. Data format
  4. Field size
  5. Special conditions
  6. Description
  7. Example
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15
Q

Pilot conversion

A

A selected group of participants/users trials the new system. This is effective to gain user feedback and see if any errors or bugs occur before sending it to everyone.

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16
Q

Phased conversion

A

Features of the new system are gradually implemented to the old system until the old system becomes the new system. This is effective to allow users and participants to gradually get used to the system’s features without getting overwhelmed.

17
Q

Parallel conversion

A

Both the new system and the old system operate at the same time, i.e. users and participants can choose which system they prefer to use. This is effective if the system’s features are completely new and may require more technical skills to operate. However, this system conversion is very costly and employees have to do double the amount of work as they need to manage both systems.

18
Q

Direct Conversion

A

Completely getting rid of the old system and implementing the new system. This is effective in saving implementation costs, resources and time as there no need to manage the old system once the new system is implemented. However, this is the most riskiest method of conversion as data from the old system will be lost and may not be able to recover again. Additionally, users may get unsatisfied with the new system as well as technical skills may be required so this system conversion can actually make organisations lose their customers.

19
Q

Features of Live Data

A

actual data that is processed by the operational system
1. makes sure that all installed parts of the system are working as intended and meeting system requirements
2. different types of IT are likely to be present within the final operational environment

20
Q

Storyboards (define)

A

Tool used for designing the user interface within software

21
Q

Schema

A

organised plan of the entire database, describes the structure of the database

22
Q

Attribute

A

a defined property about an entity, can also, in some cases, be known as a field

23
Q

Entity

A

specific thing about which information is collected

24
Q

Flat-file database

A

databases where related records are organised in a simple single table

25
Q

Benefits of flat-file database

A
  • all records are stored in one place
  • they are easier to understand and configure
  • requires less hardware and software
26
Q

Disadvantages of flat-file databases

A
  • increased potential for data redundancy and inconsistencies
  • flat-file databases are harder to update
  • harder to change format
  • harder to perform complex queries
27
Q

Relational Databases

A

stores data in a series of related tables where every table includes a primary key and all of the data is stored into tables

28
Q

Relational databases benefits

A
  • minimises data redundancy which allows for more efficient searching, sorting, querying and updating in a database
  • data input errors can be reduced by data validation
29
Q

Relational databases disadvantages

A
  • requires a lot of structure and planning to develop
  • lack of scalability
  • maintenance problem
30
Q

Total file size of a database (calc)

A

(total of field sizes) * no of records
- for kb put over 1024
- for Mb put over 1024 * 1024

31
Q

Data validation techniques (list)

A
  • list check
  • range check
  • input mask
  • type check
  • check digit