Data Preparation Functions | Teradata Vantage - Data Preparation Functions - Teradata Vantage

Database Unbounded Array Framework Time Series Functions

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Vantage
Release Number
17.20
Published
June 2022
Language
English (United States)
Last Update
2024-10-04
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Data preparation functions are used to pre-process series and matrixes prior to passing them to other functions.

TD_BINARYSERIESOP
Creates a new data series that is the result of performing a point-wise mathematic operation on two series having the same number of elements.
TD_BINARYMATRIXOP
Creates a new data series that is the result of performing a point-wise mathematic operation on two matrixes having the same number of elements.
TD_GENSERIES4FORMULA
Generates a formula-driven series with the goal of generating a series to remove periodicities from the data using the TD_BINARYSERIES_OP subtract operation.
TD_MATRIXMULTIPLY
Creates a data series based on two matrixes.
TD_RESAMPLE
Takes a logical series, such as a time series or spatial series, and applies an interpolation algorithm to transform it into a discrete series with a target start point and target sampling interval.