Profile Data Assets

Data Profiling allows you to analyze your datasets for data issues. Before you create a data profile, identify your data source and set up a data connection. You can also schedule data profiles to establish trends and identify data anomalies.

To perform end-to-end data profiling:

Set up Data Connection

Tip:

Keep the connection details handy to set up a data connection.
If you do not have the connection details, you can create a data connection from an existing connection. Refer to Create a Data Connection from an Existing Connection.

Before you create a data profile, you need to set up a data connection. To create a data connection, refer to Create a Snowflake Data Connection. You can choose to set up a data connection from available types. Refer to Types of Data Connections

Create a Data Profile

Tip:

You can use the connection that you created or use a connection from the list of existing data connections that are already set up.
During profile creation, you can select profiling rules. For profiling rules details, refer to Profiling Rules.

After setting up a data connection, you are ready to create a data profile. To create a data profile, refer to Create a Data Profile.

Run a Data Profile

You can choose to run the data profile in two ways.
- Save & Run
  
  Your profile will run immediately if you have selected Save & Run during profile creation. After a successful profile run, you can go to step 4 to analyze your profile.
- Save
  
  You can Save the profile during profile creation, and run it later. Refer to Run a Data Profile.

Analyze a Data Profile

After your profile is run successfully, you can view profiling results and analyze your dataset. To view profiling results, refer to Profiling Results.

Tip: You can search to locate your data profile on Data Profiles page. Refer to Search Data Profiles.