Home
Data Observability
Proactively monitor and manage the health of your data. Receive actionable insights through alerts that drive business decisions.
Data Connections
Your organization may have diverse data sources that you want to process. Use Data Connection to configure these data sources and connect them to the Data Integrity Suite.
Manage Data Connections
You can manage your data connections on the Data Connections page.
Create a Snowflake Data Connection
You can create a Snowflake data connection using the Snowflake account details.

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.
- Observe Data Assets
  Observing your data assets allows you to take actions based on the alerts received. Alerts are provided after successful scheduled runs. The trends generated provide alerts about data anomalies. You can observe data assets only once and cannot use them again for another observer. Before you create an observer, identify your data source and set up a data connection. Scheduling is mandatory for creating an observer.
- Profile Data Assets
  Learn about how to perform end-to-end Data Profiling. It provides a complete workflow of Data Profiling.
- Data Connections
  Your organization may have diverse data sources that you want to process. Use Data Connection to configure these data sources and connect them to the Data Integrity Suite.
  - Types of Data Connections
  - Manage Data Connections
    You can manage your data connections on the Data Connections page.
    - Create a Data Connection
    - Create a Snowflake Data Connection
      You can create a Snowflake data connection using the Snowflake account details.
    - Create a Databricks Connection
      You can create a Databricks data connection using the JDBC account details.
    - Create a Data Connection from an Existing Connection
      You can create a copy of the existing data connection, change parameters, and save it.
    - Edit a Data Connection
      You can edit an existing data connection to make changes.
    - Delete a Data Connection
      You can delete a Data Connection when it is no longer required.
  - Sort Data Connections
    You may need to locate the data connection from a long list of existing connections. You can quickly locate a data connection by sorting the data connections.
  - Search Data Connections
    You can search for a specific data connection with a complete or partial name.
  - Reference
- Data Profiles
  Data profiling scans your data records from all the data sources - irrespective of their volume and complexity. It identifies problems related to correctness, completeness, and validity in the data, and suggests actions to fix the issues. Thus, it improves the quality and utility of your data with very little manual effort.
- Observers
  You can create observers to keep a watch on your data assets and take timely measures in case of data anomalies. The observer monitors your selected data assets and provides alerts based on the selected observer rules.
- Alerts
  Alerts are generated as per the observer rules and the assets that are selected during observer creation. The alerts are either critical level or warning level. This level is set during the observer rule configuration.
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.
Administration
Manage your subscription, your users and their roles, and other system tasks.

Create a Snowflake Data Connection

You can create a Snowflake data connection using the Snowflake account details.

To create a Snowflake data connection:

On the Data Connections page, click Create Connection and select Snowflake.
Create Snowflake Connection page appears.

Fill in the required connection details.

Option	Description
Name	Specifies the name for the data connection that you want to provide.
Account	Specifies the Snowflake account name that you want to use.
User name	Specifies the Snowflake account’s identifier.
Password	Specifies the Snowflake account’s password.
Role	Specifies the role.
Warehouse	Specifies the warehouse name. The warehouse name is the target server.
Database	Specifies the database name. The database is the repository on the target server, where the data is stored.
Schema	Specifies the schema details. The schemas are the definitions within the database where the data is stored. It describes how the data is stored, like table name, indexes, column names, and types.

Optional: Click Test to validate the connection.
If the connection is successful, a confirmation message is displayed.
After the connection is established, click Save.
The connection is saved, and you are redirected to the Data Connections page. Refer to the Data Connections page.
Note: Testing a connection is optional. You can save the connection without testing or even if the connection fails.