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Releases: fivetran/dbt_microsoft_ads

dbt 0.20.0 Compatibility

28 Jul 03:57
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🎉 dbt 0.20.0 Compatibility 🎉

🚨 This is a breaking change! 🚨 dbt v0.20.0 or greater is required for this release. If you are not ready to upgrade, consider using a previous release of this package.

Additional considerations when upgrading to this package:

  • This package utilizes the latest v0.7.x release of the dbt-labls/dbt_utils package. If your project also utilizes a version of the fishtown-analytics/dbt_utils package then you will receive a duplicate package error. If this is the case you will need to consider upgrading your other packages to be compatible with this update or use a previous release of this package.
  • Similar to the above point, all previous Fivetran dbt packages utilize the fishtown-analytics/dbt_utils package and you will need to upgrade all Fivetran dbt packages to the latest dbt 0.20.0 compatibility releases in order for your packages to run without package conflicts.

Postgres Compatibility

21 Jul 20:28
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🎉 Postgres Compatibility 🎉

This release incorporates Postgres compatibility changes. These changes are non-breaking and only include changes for integration testing and Postgres specific updates to the package.

Databricks Compatibility

29 Apr 17:22
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This release incorporates the following non-breaking changes:

  • Databricks compatibility

Custom Schema Update

29 Mar 13:46
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🚨 This update introduces a breaking changes in the form of custom schemas to output models into a respective <target.schema>+_microsoft_ads schema. Refer to the ReadMe for more details. 🚨

The release also:

  • Incorporates Github pages for easy dbt docs hosting
  • Minor documentation updates

dbt 0.19.0 Compatibility

23 Feb 05:39
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This release introduces compatibility with dbt 0.19.0. There are no known breaking changes.

Initial Release

03 Sep 19:55
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This is the initial release of this package.

The main focus of the package is to transform the core ad object tables into analytics-ready models, including an 'ad adapter' model that can be easily unioned in to other ad platform packages to get a single view.

Currently the package supports Redshift, BigQuery and Snowflake.