@@ -185,4 +185,4 @@ There are several data sources available in Snowflake and Sisense each represent
...
@@ -185,4 +185,4 @@ There are several data sources available in Snowflake and Sisense each represent
| analytics_staging | These tables have undergone little to no data transformation, meaning they're basically clones of the raw data source | Access via Snowflake or Sisense |
| analytics_staging | These tables have undergone little to no data transformation, meaning they're basically clones of the raw data source | Access via Snowflake or Sisense |
| analytics | These tables have typically undergone more data transformation. They will typically end in _xf to represent the fact that they are transformed | Access via Snowflake or Sisense |
| analytics | These tables have typically undergone more data transformation. They will typically end in _xf to represent the fact that they are transformed | Access via Snowflake or Sisense |
If you are a Product Manager, you will likely focus on the analytics source and analytics_staging if you're interested in the raw data. The raw source is limited to the data and infrastructure teams. For more information, please see [Data For Product Managers: What's the difference between analytics_staging and analytics?](https://about.gitlab.com/handbook/business-ops/data-team/programs/data-for-product-managers/#whats-the-difference-between-analytics_staging-and-analytics)
If you are a Product Manager interested in the raw data, you will likely focus on the `analytics` and `analytics_staging` sources. The raw source is limited to the data and infrastructure teams. For more information, please see [Data For Product Managers: What's the difference between analytics_staging and analytics?](https://about.gitlab.com/handbook/business-ops/data-team/programs/data-for-product-managers/#whats-the-difference-between-analytics_staging-and-analytics)