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Data Quality
Assure reliability, consistency, and accuracy data from different sources to deliver value to employees and customers.
Data Quality pipelines
Pipelines define and apply transforms to data loaded by a dataset.
Reference
This section contains reference information for pipeline pages in Precisely DQ.
Pipelines
The table on this page lists pipelines. On this page you can create a new pipeline or edit, delete, or rename any existing pipeline.

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.
- Data Quality pipelines
  Pipelines define and apply transforms to data loaded by a dataset.
  - About Data Quality pipelines
  - Using Data Quality pipelines
  - How to
  - Reference
    This section contains reference information for pipeline pages in Precisely DQ.
    - Pipelines
      The table on this page lists pipelines. On this page you can create a new pipeline or edit, delete, or rename any existing pipeline.
    - Pipeline settings
      The pipeline settings page allows you to view and edit transformation steps in a pipeline.
    - Add Step
      Choose a transformation in this dialog box to add it as a step in a pipeline.
    - Data Quality Transforms
      Pipeline transform settings are configured to add transformation steps in a pipeline. This reference describes the purpose of each transform and its settings that define a transformation step in a pipeline.
- 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.

Pipelines

The table on this page lists pipelines. On this page you can create a new pipeline or edit, delete, or rename any existing pipeline.

This page is displayed when you click Pipelines on the sidebar menu.

Search: Type any part of a pipeline name to only show pipelines with matching names.
Create Pipeline: Click this button to create a new pipeline.
Name: Shows the name of a pipeline. Click the shortcut menu button to Edit, Delete, or Rename, or Duplicate a pipeline. You can also choose Run configurations to create, edit, or run a configuration.
Sample Size: Shows the number of rows that have been sampled to characterize the data.
Columns: Shows the number of fields to be processed by the pipeline.
Steps: Shows the number of transformation steps in the pipeline.
Dataset: The dataset processed by the pipeline. You can click a dataset name to edit the dataset.