Week 5 - data and databases Flashcards

1
Q

Big data

A
  • still an evolving area of research and application concerning data sets of scale
  • different approaches are required for efficient analysis
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2
Q

What does data have to be before analysis

A
  • cleaned (removal of any errors or inconsistencies)
  • prepared (transformed into a format that can be analysed)
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3
Q

Techniques to extract information for data analyses

A
  • identifying patterns
  • statistics
  • building predictive models
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4
Q

Types of knowledge

A

Explicit - easy to communicate and shared, often written or other forms
implicity - embedded in peoples skills, experiences and intutition

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5
Q

How knowledge can be contextually applies

A
  • information and decision making
  • problem solving
  • product development
  • service delivery
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6
Q

Database definition

A

An organised collection of data, can be physical or electronic

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7
Q

Flat tile databases

A
  • typically individual files
  • some formats are unstructured and volatile
  • some formats may be more technical but offer greater strucutee
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8
Q

Relational databases

A
  • intended to address issues around data redundancy, data siilos and data complexity
  • strong theoretical foundation, maturity and wide support
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9
Q

How is data stored in relational databases

A
  1. columns - individual items of data
  2. rows - a record containing all relevant attributes
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10
Q

Entity relationship diagram

A
  • a model produced following the systematic analysis of business processes
  • helps to define and describe any created or required data
  • identify and describe any relationship between objects and things within the real world
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11
Q

Domain definition

A

The real world context in which entities exist

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12
Q

Entity definition

A

An object or something which exists independently

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13
Q

Relationship definition

A

How one entity is related to another within the domain

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14
Q

Cardinality definition

A

A numerical representation of the nature of the relationship between entities, can be visual

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15
Q

Database management systems

A

Software for managing and storing data in a structured and efficient way

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16
Q

Structured query language

A

A domain specific programming language, used to manage and work with data stores