snowplow-unified v0.4.2

Summary

This release introduces enhancements to the initialization checks and refinements in data handling, particularly in Databricks/Spark environments. These updates ensure smoother operations and better data integrity checks.

Features

• Introduced a new validation test to halt the process early if all required seeds are not present in the data warehouse. This ensures all necessary data components are available before proceeding.

Fixes

• Revised the field casting approach within Databricks/Spark to enhance data handling and compatibility.
• Removed the non-null constraint test on user_identifier to prevent unnecessary validation errors and allow for more flexible data integration.

Upgrading

Update the snowplow-unified version in your packages.yml file to take advantage of these improvements.