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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.
Reference
Data connection types reference
Topics in this section describe settings for standard data connections supported by Data Integrity Suite.
Databricks Connection settings
Configure Databricks data connection settings to connect to a Databricks workspace.

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.
  - Reference
    - Connections page
      The Data Connections page provides information about the data connections. On this page you can create a new data connection or test, edit, duplicate, or delete any existing data connection.
    - Catalog Connection settings
      The Catalog Connection panel expands when you choose Catalog a connection on the Connections page.
    - Data connection types reference
      Topics in this section describe settings for standard data connections supported by Data Integrity Suite.
      - Databricks Connection settings
        Configure Databricks data connection settings to connect to a Databricks workspace.
Administration
Manage your subscription, your users and their roles, and other system tasks.

Databricks Connection settings

Configure Databricks data connection settings to connect to a Databricks workspace.

Enter the following information to define a Databricks connection. All fields are required entries.

Connection name

Specifies the name for a data connection. Use a meaningful name to identify the connection in Data Integrity Suite.

Host URL

Specifies the Databricks workspace URL. This entry typically specifies host address in one of the following formats:

//hostname:port
http://hostname:port
https://hostname:port

A Databricks workspace is a Databricks deployment on the network or in the cloud that provides a unified environment for accessing Databricks assets. An organization may have one or more workspaces.

Authentication token

Specifies the Databricks personal access token. Access tokens are generated in the user settings for the Databricks workspace. You must always enter an authentication token to create or edit a Databricks workspace connection. Contact the Databricks administrator for your organization if you do not have an authentication token.