TD_DIFF

The Teradata TD_DIFF - Difference and Seasonal Difference function; enables you to perform both status-quo time series differencing, seasonal based differencing, and multiplicative transforms to transform your likely non-stationary time series into a differenced time series - and thus the output of this transform function is always a new time series.

Input ports

1. Type: DB Session
   Teradata Connection
   Connection to a Teradata Database Instance
2. Type: Table
   Input
   The TD_DIFF function can either be passed a single time series (SERIES_SPEC(CONTENT(REAL)) as input, or can be passed in a multivariate time series (SERIES_SPEC(CONTENT(MULTIVAR_REAL)) . When passed in a multivariate series, the TD_DIFF function is executed separately against each identified series in the collection and produce a coalesced multivariate style analytical result set (OUTPUT_FMT(CONTENT(MULTIVAR_REAL)).

Output ports

1. Type: Table
   output of TD_DIFF
   output of TD_DIFF