The instructions below offer Data Engineers an example of how to write Python in a Databricks notebook to set up Soda, then write and execute scans for data quality in Spark.

Access configuration details to connect Soda to Databricks using a Spark data source.

The instructions below offer Data Engineers an example of how to write Python in a Databricks notebook to set up Soda, then write and execute scans for data quality in Spark.

Reference Data source reference for Soda Core Databricks SQL Access configuration details to connect Soda to a Databricks SQL data source. For information about how to connect to Databricks Spark …

Use this guide as an example for how to set up and use Soda to test the quality of data in a Databricks pipeline. Automatically catch data quality issues after ingestion or transformation, and before using …

For information about how to connect to Databricks Spark Dataframes, see: [#example-contract-spark-databricks](https://docs.soda.io/soda-v4/reference/spark-dataframe#example-contract-spark …

Example contract: Spark - Databricks Below is an example of a contract scan that runs on a Databricks table with a Spark connector:

A package you use to install Soda Library for Databricks SQL on the Databricks Lakehouse Platform.

Login credentials for your data source (BigQuery, Databricks SQL, MS SQL Server, MySQL, PostgreSQL, Redshift, or Snowflake); Soda securely stores passwords as Kubernetes secrets

threshold: must_be: 3 ``` #### Example contract: Spark - Databricks Below is an example of a contract scan that runs on a Databricks table with a Spark connector: ```python from soda_core.contracts …