Telmai Academy
  • Data Quality and Observability Academy
  • Basics of Data Observability
  • Data Quality Indicators
    • Introduction - Indicators of Data Quality
    • Selecting Data Quality Indicators
    • Completeness
    • Uniqueness
    • Freshness
    • Validity
    • Accuracy
    • Consistency
    • Data Lineage
  • Advanced Topic: Implementing DQ indicators
    • Completeness
      • Built-in
      • User-Defined
  • Correctness
    • Categorical (Nominal or Ordinal)
    • Numerical (Discrete or Continuous)
    • Structured
    • Semi-Structured
    • Unstructured
    • Uncommon Types
    • Designated Values
  • Profiling data
    • Basics of profiling
    • Interactive Profiling
  • Monitoring data quality
  • Monitoring definitions
    • SLO
    • SLI
    • Policies
    • Setting up policies and alerting
  • Monitoring Sources
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  1. Correctness

Designated Values

Telmai assesses correctness of special designated values such as:

Default value where a predefined value is used as a proxy for unspecified actual value.

Examples: 0 or -1 may be used as a default value for Salary, ‘Medium’ for Shirt_Size, ‘Clear’ for Color, ‘US’ for Country, ‘23%’ for Fed_TAX, ... etc. Note that default values might get intermixed with actual values and, thus, a desire to have them identified will depend on the specific use case

Placeholder where a dummy value is used as a proxy for unknown actual value. The placeholder can be thought of as a temporary value until the actual value becomes known, or just as a mere empty field filler. Examples: “*******” may be used as a placeholder for Title, “(415) 111-1111” for Phone, 99999 for Zip_Code, … etc.

Empty proxy where a string indicating a non existence of value is used. Such proxies come in all sorts of shapes and sizes. Examples: “ ”, “[ ]”, “none'', “null'', “n/a'', “nothing'', “not provided'', “unknown'', … etc

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Last updated 3 years ago

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