Home
Data Quality
Assure reliability, consistency, and accuracy data from different sources to deliver value to employees and customers.
Data Quality datasets
A dataset defines a data source and characterizes data to be loaded and transformed by pipelines.
Reference
This section contains reference information for dataset pages in Precisely Data Quality.
Data Type Format settings
The data type characterizes the data in a dataset column. The format defined for a data type allows a column to be typed when it is read into a dataset.

Welcome
The Precisely Data Integrity Suite is designed to deliver trusted data with accuracy, consistency, and context – built on the core capabilities of data integration, data quality, data governance, location intelligence, and data enrichment.
Data Integration
Replicate data from mainframe, IBM i, and relational databases to cloud analytics platforms.
Data Observability
Proactively monitor and manage the health of your data. Receive actionable insights through alerts that drive business decisions.
Data Governance
Manage data policy and processes with greater insight into your data's meaning, lineage, and impact.
Data Quality
Assure reliability, consistency, and accuracy data from different sources to deliver value to employees and customers.
- Data Quality Catalogs
  The Data Integrity Suite Data Catalog lets users discover and understand connected data sources.
- Data Quality datasets
  A dataset defines a data source and characterizes data to be loaded and transformed by pipelines.
  - About datasets
  - Using datasets
    Datasets are created, edited, and deleted on the Datasets page of the Data Quality application. You can also create a pipeline that uses a selected dataset on this page.
  - How to
    This section contains tasks for using datasets in Precisely DQ.
  - Reference
    This section contains reference information for dataset pages in Precisely Data Quality.
    - Datasets
      The Datasets page lists datasets that have been uploaded to the Precisely DQ repository.
    - Data Settings
      The Data Settings page allows you to view and edit settings that characterize a dataset.
    - Data Type Format settings
      The data type characterizes the data in a dataset column. The format defined for a data type allows a column to be typed when it is read into a dataset.
- Data Quality pipelines
  Pipelines define and apply transforms to data loaded by a dataset.
- Data Quality jobs
- Data Connections
  Connecting to data is the first step in processing, analyzing, and storing information.
Administration
Manage your subscription, your users and their roles, and other system tasks.

Data Type Format settings

The data type characterizes the data in a dataset column. The format defined for a data type allows a column to be typed when it is read into a dataset.

These options are displayed when you click the Edit data type format button on the Data Settings page while you configure a dataset.

Locale option

The Locale option must be set before you can configure date, time, and numeric data format options. The locale recognizes culture-specific date, time, date-time, and numeric formats in the data.

Locale: Specifies a language and country pair that defines a supported locale.

Set Date and Time Format options

The date and time format options characterize date, time, and date-time fields that are read into a dataset. Sample data is shown next to the each selection. Delimiters between months, days, years, hours, and minutes are indicated by the asterisk (*) wildcard. This matches any delimiting character within a format. For example, mm*dd*yy format matches both 02/24/2022 and 02-24-2022 in a date field.

The Locale setting determines formats available for date, time, and date-time fields. For example, in the English (United States) locale, the month precedes the day (02/24/2022). In many other locales the day precedes the month (24/02/2022).

Date: Specifies the format for data displayed in date fields.
Time: Specifies the format for data displayed in time fields.
DateTime: Specifies the format for data displayed in date-time fields.

Set Numeric Format options

The numeric format options characterize whole number (such as integer) and decimal number (such as fields that are read into a dataset.

The Locale setting determine options available for numeric format fields. For example, in the English-United States locale, the thousands separator is a comma (,) and the decimal separator is a period (.). In many other locales, the thousands separator is a period (.) and the decimal separator is a comma (,).

Whole numbers: Specifies the format for data displayed in whole number fields (long or integer data types).
Decimal numbers: Specifies the format for data displayed in decimal number fields (float data type).