Working with OTF Tables | Teradata Package for Python - Working with OTF Tables - Teradata VantageCloud Lake

Lake - Analyze Your Data with ClearScape Analytics™
Deployment
VantageCloud
Edition
Lake
Product
Teradata VantageCloud Lake
Release Number
Published
February 2025
ft:locale
en-US
ft:lastEdition
2026-02-20
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tcl1683670667798.ditamap
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pny1626732985837.ditaval
dita:id
tcl1683670667798
  • Accessing OTF tables from teradataml is supported on DB 20.00.24.xx and earlier versions.
  • Unsupported features:
    • Writing to datalake is not supported.
    • DataFrame’s data import APIs like to_sql()
    • copy_to_sql(), fastload()
  • Unsupported DataFrame methods on OTF DataFrame:
    • pivot()
    • unpivot()
    • create_temp_view()
  • Exporting of OTF table data using fastexport protocol is not supported.
  • VAL functions are not supported with OTF DataFrame.
  • OpenSourceML feature is not supported with OTF DataFrame.