Schemas, storage types and meanings

• Definitions
  • Storage types
    • Why use precise storage types ?
  • Meanings
• Basic usage
  • Changing meaning and storage type
    • Changing the storage type
    • Changing the meaning
    • Editing advanced schema
• Schema for data preparation
  • Schema in visual analysis
  • Schema in prepare recipe
• Creating schemas of datasets
  • Schema of new external datasets
    • SQL and Cassandra datasets
    • Text-based files datasets
    • “Typed” files datasets
  • Schema of managed datasets
  • Modifying the schema
• Handling of schemas by recipes
  • Sample, Filter, Group, Window, Join, Split, Stack
  • Sync
  • Prepare
  • Hive, Impala, Pig, SQL
  • Python, R, PySpark, SparkR
  • Machine Learning (scoring)
  • SparkSQL
  • Shell
• List of recognized meanings
  • Basic meanings
    • Text
    • Decimal
    • Integer
    • Boolean
    • Date / Dates (needs parsing)
    • Object / Array
    • Natural language
  • Geospatial meanings
    • Latitude / Longitude
    • Geopoint
    • Geometry
    • Country
    • US State
  • Web-specific meanings
  • Other meanings
• User-defined meanings
  • Kinds of user-defined meanings
    • Declarative
    • Values list
    • Values mapping
    • Pattern
  • Autodetecting user-defined meanings
• Handling and display of dates
  • Displaying dates
  • Handling of dates in SQL