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Data Quality
Assure reliability, consistency, and accuracy data from different sources to deliver value to employees and customers.
Data Connections
Connecting to data is the first step in processing, analyzing, and storing information.
How to
Topics in this section step through tasks for working with data connections.
Edit a data connection
Complete this task to edit settings for an existing data connection.

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.
- Data Quality jobs
- Data Connections
  Connecting to data is the first step in processing, analyzing, and storing information.
  - About data connections
  - Using Data Connections
  - How to
    Topics in this section step through tasks for working with data connections.
    - Create a data connection
      Complete this task to create a connection to any supported data source.
    - Edit a data connection
      Complete this task to edit settings for an existing data connection.
    - Find a data connection
      Complete this task to quickly find a particular connection on the Data Connections page.
    - Duplicate a data connection
      Complete this task to create a new data connection from an existing connection.
    - Test a data connection
      Complete this task to test an existing data connection.
    - Catalog a data connection
      Perform this task to catalog data connections. Cataloged data connections allow user to discover and understand the connected data.
    - Delete a data connection
      Complete this task to permanently delete a data connection.
  - Reference
Administration
Manage your subscription, your users and their roles, and other system tasks.

Edit a data connection

Complete this task to edit settings for an existing data connection.

After you complete this procedure, you will have to reenter credentials required to access a data source.

Expand the secondary navigation panel, and click Connections .
On the Connections page, find the connection that you want to edit.
In the Connection column, click the shortcut menu , then click Edit.

Tip: To filter connections by connection name or type, enter any portion of a connection name or type in the Search box . This displays only those connections that match the search string in the Connection or Type column.
On the edit connection panel, edit the connection settings.
Connection type For more information, see
Databricks Databricks Connection settings

Note: You must enter authentication credentials (password or token) to test or save changes to a data connection.
Optional: Click the Test button to confirm that the connection works.
If the connection is successful, a confirmation message is displayed.

Note: Testing a data connection is optional. You can save the connection without testing it or if the test fails.
Click the Save Changes button.