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Snowplow Normalize v0.4.0

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@github-actions github-actions released this 04 Dec 13:23

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.