2.2.14

Structuring Data - Records

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Records

Structured data refers to any data that resides in a fixed field within a record or file so that it can be easily entered, stored, queried, and analysed.

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Records

  • Records are made up of fields.
  • For example, a person could be represented as a record where the fields include their name, age, and address.
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Comma separated values (CSV)

  • One method of storing a record is using comma separated values.
  • Each record is put on its own line.
  • Each field is separated by a special character such as a comma.
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Pros and cons

  • Pros:
    • Very simple, text-based format.
    • Can be read by many applications.
    • Easy to use in programs.
  • Cons:
    • Inefficient for large datasets.
    • Can only store text data.
    • No built-in means of sorting or searching.

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1Computer Systems

1.1Systems Architecture

1.2Memory & Storage

1.3Computer Networks, Connections & Protocols

1.4Network Security

1.5Systems Software

1.6Ethical, Legal, Cultural & Environmental Concern

2Computational Thinking, Algorithms and Programming

2.1Algorithms

2.2Programming Fundamentals

2.3Producing Robust Programs

2.4Boolean Logic

2.5Programming Languages & IDEs

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