We are excited to announce the release of dbt-snowplow-normalize v0.4.0!
Summary
This version adds new features including Apache Spark with Iceberg support, flexible timestamp partitioning, and compatibility with the new BigQuery loader naming conventions.
Features
- Added support for Apache Spark with Iceberg
- Introduced configurable partition timestamp column name for derived tables
- Added compatibility with new BigQuery loader naming conventions
Upgrading
To upgrade simply bump the snowplow-normalize version in your packages.yml file.
If you want to start using the new partition timestamp feature, you can configure the column name in your project configuration:
vars: snowplow__partition_tstamp: your_custom_column_name
You have to be sure that the field you add is included in the table, and you do a full refresh.