Introduction to Analytics Database Analytic Functions - Analytics Database

Database Analytic Functions

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Analytics Database
Release Number
17.20
Published
June 2022
Language
English (United States)
Last Update
2024-01-31
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Product Category
Teradata Vantageā„¢

The Advanced Analytics functions is a suite of scalable and distributed machine learning analytic functions to perform analytics on your dataset.

Using the Analytics Database Analytical Content

The content describes the advanced analytic functions used for feature engineering, training, scoring, evaluation, pattern recognition, and text analytics use cases. The engine supports the use cases with a full dataset without compromising the end-to-end performance of an analytic workload.

Why Would I Use this Content?

You can use the content to understand which function to use for the following use cases:
  • Data cleaning (which includes use cases related to handling outliers, handling missing values, and parsing data)
  • Data exploration (which includes use cases related to descriptive statistics and statistical tests)
  • Feature Engineering (which includes use cases related to feature engineering utilities and categorical and continuous variable transform)
  • Model building (which includes use cases related to model training, model evaluation, and model scoring)

How Do I Use this Content?

You can use the content as follows:

  1. Select a function from the Overview section.
  2. Read the function description, syntax, syntax elements, and input and output sections for the selected function.
  3. Download the zip file and use the dataset setup file to create the datasets.
  4. Use the examples from the guide or SQL statements from the notepad and run the statements in the Teradata Studio or BTEQ environment.

How Do I Get Started?

Before using the functions, read the following sections:

  1. Read Usage Notes.
  2. Read the How to Read Syntax section.