Data Engineering Tutorial: Getting Started with Soda Data Quality Checks in Databricks Notebooks

In this tutorial, we will walk through the steps to quickly set up and run data quality checks within a Databricks notebook using Soda. This guide covers how to install the necessary Soda packages, configure Soda Cloud, and execute data quality checks. Visit https://www.soda.io/tutorials/implement-data-quality-checks-in-a-databricks-pipeline-with-soda-step-by-step-tutorial for the detailed instructions. Key Takeaways * How to install and configure Soda in Databricks * Run data quality checks on large datasets * How to create custom checks using SodaCL and SQL * Use Soda Cloud for monitoring, alerts, and analysis * Integrate Soda with Slack and other tools for timely alerts Requirements and Links * A Databricks account: https://accounts.cloud.databricks.com/login * A Soda Cloud account: https://cloud.soda.io/select-region?utm_source=website&utm_medium=tutorial&utm_campaign=databricks * Soda Spark DataFrames Package: https://docs.soda.io/soda/connect-spark.html#connect-to-spark-dataframes * Soda Scan - Basica Programmatic Usage Example.py: https://drive.google.com/file/d/13cf1_dr5Iztjsyfwc5nkCduo6tzVUALO/view?usp=share_link