Source Connector for Snowflake¶

This guide describes how to configure digna to connect to Snowflake using either the native Python connector or the ODBC driver.

It refers to the screen "Create a Database Connection".

Create a database connection

Native Python Driver¶

Library: snowflake-connector-python
Supported Authentication: Password-based authentication only

⚠️ For other authentication methods, please use the ODBC driver.

digna Configuration (Native Driver)¶

Provide the following information in the "Create a Database Connection" screen:

Name:               Name of the connection. This is used for referencing the connection in other screens.
Technology:         Snowflake
Host Address:       Snowflake account name
Host Port:          Not needed
Database Name:      Database that contains the source schema
User Name:          User name and warehouse in the format "user<@>warehouse"
User Password:      Password for the user
Profiling Mode:     The profiling mode determines how digna processes data and calculates metrics:
                    - Standard: Metrics are calculated directly on the source tables without copying the data.
                    - Permanent: Data for the inspected day is copied into a permanent table, and metrics are calculated on the copied data.
                    - Session: Data is copied into a session or temporary table, and metrics are calculated on this temporary data.
Work Schema Name:   When using "Permanent" profiling mode, work tables will be placed in this schema.
Use ODBC:           Disabled (default)

ODBC Driver¶

The ODBC driver may support a broader range of authentication and connectivity options. This section focuses on password-based authentication using the SnowflakeDSIIDriver.

1. Install the ODBC Driver¶

Install the SnowflakeDSIIDriver by following the vendor’s official installation guide.

2. Configure the ODBC Data Source¶

Follow these steps to configure a new ODBC data source using password-based authentication:

Step 1¶

Step 1

Notes: - If you do not provide values for Database, Schema and Warehouse, then you will need to provide them as ODBC properties during the digna data source configuration. - The value for "Server" consists of your snowflake account name followed by ".snowflakecomputing.com"

Step 2 – Test the connection¶

Click the TEST button. A successful connection should look like this:

Step 2

Now you can configure digna to use the ODBC connection, either with a DSN (Data Source Name) or a DSN-less setup.

A. DSN-Based Configuration¶

digna Configuration¶

In the "Create a Database Connection" screen, provide the following:

Name:               Name of the connection. This is used for referencing the connection in other screens.
Technology:         Snowflake
Database Name:      Database that contains the source schemas
Profiling Mode:     The profiling mode determines how digna processes data and calculates metrics:
                    - Standard: Metrics are calculated directly on the source tables without copying the data.
                    - Permanent: Data for the inspected day is copied into a permanent table, and metrics are calculated on the copied data.
                    - Session: Data is copied into a session or temporary table, and metrics are calculated on this temporary data.
Work Schema Name:   When using "Permanent" profiling mode, work tables will be placed in this schema.
Use ODBC:           Enabled

ODBC Properties¶

name: "DSN",            value: "snowflake_demo_2"
name: "PWD",            value: "{your password in curly braces}"

optionally:
name: "Database",       value: "Database that contains the source schemas"
name: "Warehouse",      value: "Warehouse to use for the execution of the SQLs"

🔹 The DSN must match the name defined in your ODBC driver configuration.

B. DSN-less Configuration¶

digna Configuration¶

In the "Create a Database Connection" screen, provide the following:

Technology:         Snowflake
Database Name:      Database that contains the source schemas
Profiling Mode:     The profiling mode determines how digna processes data and calculates metrics:
                    - Standard: Metrics are calculated directly on the source tables without copying the data.
                    - Permanent: Data for the inspected day is copied into a permanent table, and metrics are calculated on the copied data.
                    - Session: Data is copied into a session or temporary table, and metrics are calculated on this temporary data.
Work Schema Name:   When using "Permanent" profiling mode, work tables will be placed in this schema.
Use ODBC:           Enabled

ODBC Properties¶

name: "Driver",     value: "{SnowflakeDSIIDriver}"
name: "Server",     value: "your-account-name.snowflakecomputing.com'
name: "UID",        value: "your snowflake user'
name: "PWD",        value: "your snowflake password"
name: "Database",   value: "Database that contains the source schema"
name: "Warehouse",  value: "Warehouse to use for the execution of the SQLs"