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1. Prepare the data

José Alejandro Llamas Spanish

1. Prepare the data

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1. Prepare the data

  1. Data Source Connection

    • Over 100 native connectors
    • Datasets
      • Local
      • Shared
    • Storage Mode
      • Import
        • Local compressed copy
        • Caches Data
        • Incremental refresh
      • DirectQuery
        • Live Connection
        • Very Large datasets
        • Real Time Data
  2. Profiling data

    • Column Quality
      • Valid, error and empty values
    • Column Distribution
      • Bar charts
      • Distinct Values
        • How many differente values appears only once?
      • Unique Values
        • How many values occurs exactly once?
    • Column Profile
      • Column statistics
      • Value distribution
  3. ETL

    • Power Query
      • First appereance: Excel 2010
      • Language M; stands for "mashup"
        • Case sensitive
    • Clean
      • Replace or Remove Values
      • Change Data Types
      • Merge or append tables
    • Transformation
      • Pivot or unpivot columns
      • Add custom columns
      • Use user friendly name conventions
    • Load

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  • 1. Prepare the data

Information

Description
Query folding: A feature of PBI that translates the user's transformations into the native language of the source (e. g. SQL). Parameters VS Functions in Power Query? Use a parameter if you just want to apply it once; use functions if you want to apply a same logic multiple times.
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