
During December 2024, Bass Rock enhanced dataset architecture and governance within the mozilla/bigquery-etl repository by delivering Pocket DBT dataset segmentation and metadata updates. Bass introduced discrete datasets for Pocket DBT facts, intermediate and scratch-derived models, and multiple Snowplow-derived datasets, improving data organization and enabling targeted analytics. The work included updating Snowplow external dataset access to incorporate the dataops-managed/external-dbt-prod workgroup, strengthening governance and business-user provisioning. Using BigQuery, dbt, and SQL, Bass focused on ETL processes and access provisioning, resulting in improved data accessibility, reduced exposure risk, and more granular control over downstream analytics without addressing major bugs during this period.

Month: 2024-12. Focused on enhancing dataset architecture and governance in the mozilla/bigquery-etl repository. Delivered Pocket DBT Dataset Metadata and Derived-Model Dataset Segmentation with Snowplow access updates, introducing discrete datasets for Pocket DBT facts, intermediate derived models, scratch-derived models, and multiple Snowplow-derived datasets (facts, manifest, seed) as well as staging-derived datasets. Updated Snowplow external dataset access to include the dataops-managed/external-dbt-prod workgroup to strengthen governance and business-user access provisioning. No major bugs reported for this repository this month. Overall, the changes improve data organization, governance, and accessibility for downstream analytics, while reducing exposure risk and enabling targeted data consumption. Technologies/skills demonstrated include BigQuery ETL, DBT, Snowplow governance, dataset segmentation, and access provisioning.
Month: 2024-12. Focused on enhancing dataset architecture and governance in the mozilla/bigquery-etl repository. Delivered Pocket DBT Dataset Metadata and Derived-Model Dataset Segmentation with Snowplow access updates, introducing discrete datasets for Pocket DBT facts, intermediate derived models, scratch-derived models, and multiple Snowplow-derived datasets (facts, manifest, seed) as well as staging-derived datasets. Updated Snowplow external dataset access to include the dataops-managed/external-dbt-prod workgroup to strengthen governance and business-user access provisioning. No major bugs reported for this repository this month. Overall, the changes improve data organization, governance, and accessibility for downstream analytics, while reducing exposure risk and enabling targeted data consumption. Technologies/skills demonstrated include BigQuery ETL, DBT, Snowplow governance, dataset segmentation, and access provisioning.
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