Overview of Notes Classes and Subclasses - trillium_discovery - trillium_quality

Overview of Notes Classes and Subclasses - trillium_discovery - trillium_quality - 17.1

Trillium DQ Repository Administrator Guide

Product type

Software

Portfolio

Verify

Product family

Trillium

Product

Trillium > Trillium Discovery

Trillium > Trillium Quality

Version

17.1

Language

English

Product name

Trillium Quality and Discovery

Title

Trillium DQ Repository Administrator Guide

Topic type

Overview

Administration

Configuration

Installation

Reference

How Do I

First publish date

2008

You can add notes to a variety of objects including:

Baseline Analysis, Join, and Trillium Quality projects
Attributes
Entities
Permanent joins
Trillium Quality processes and output entities

For each note, you can define note classes and subclasses. There are different classifications of notes that are available out of the box, see table Default Note Classes and subclasses. You can also create custom classes and subclasses.

The note class and subclasses are useful in identifying the contents of a note and allows you to group notes together for reporting purposes.

Table 1. Default Note Classes and subclasses
Class	Subclass	Use this class to note
TS Quality
	To Do List	List of items to attend to.
	Processing Details	Detailed description of a Quality data process steps.
	Processing Results	Results of a data quality process. You can save this information as either as a summary you have written and/or as copied data from List Views.
	Issues to Resolve	Data issues and resolution requirements.
Business
	Meaning	Detailed description of the issue or data.
Reconciliation
	Sum	Expected sum for integer/decimal attributes.
	Record Count	Expected record count for an entity.
	Data Volumes	Data volume of an entity in a repository.
Attribute
	Nulls	Issue related to NULL values (blank fields) for an attribute.
	Ranges	Issue related to the range of values for an attribute.
	Phonetic	Issue with values that sound alike. For example, potential misspellings.
	Abnormal Values	Issue related to value(s) with unexpected high or low frequency.
	Patterns	Issue related to value(s) with unexpected pattern.
	Datatype	Issues with unexpected data types.
	Technical Cleanse Rule	Definition of the technical cleansing rules required or done for system reasons.
	Business Cleanse Rule	Definition of the business cleansing rules required or done for system reasons.
Mapping
	Mapped From	Object from which an object is mapped. Mappings must be defined bi-directionally.
	Mapped To	Object to which an object is mapped. Mappings must be defined bi-directionally.
	Out of Scope	Object that is not considered in scope for mapping.
	Default Value	Attribute that is not mapped from another attribute; in such cases, note the default value used.
	Error Processing	Error processing rule that defines what to do if an error occurs.
	Complex Transformation	Definition of complex data transformation rule.
	Medium Transformation	Definition of medium data transformation rule.
	Simple Transformation	Definition of simple data transformation rule.
	Select Criteria Rule	Definition of how rows should be selected for extraction from the source.
Join
	Outer Join Rule	If an outer join is required for this join.
	Cardinality	Definition of unexpected cardinality issue.
	Optionality	Definition of unexpected optionality issue.
	RI Rule	Definition of unexpected Referential Integrity (RI) issue.
Key
	Business Meaning	Business significance of a key
	Duplication Issue	Data duplication issue.
	Technical Cleanse Rule	Technical description of how to correct an issue
	Business Cleanse Rule	Business description of how to correct an issue.
Dependency
	Business Meaning	Business significance of the dependency.
	Conflict Issue	Description of conflicts.
	Technical Cleanse Issue	Technical description of how to correct the issue.
	Business Cleanse Issue	Business description of how to correct the issue.