The Grizzly DataOps platform is a deployable blueprint to create and operate an analyst-first data warehouse with minimal engineering support. It provides a simple Git .yml and .sql file interface as the single pane of glass to configure and run the following components in concert:
- BigQuery including its database, function, assert, table-level security, column-level security, row-level security, and machine learning functionality.
- Cloud Composer as a complete end-to-end data movement/integration tool for BigQuery, Cloud Spanner, CloudSQL, Cloud Storage, and Google Sheets.
- Cloud Data Loss Prevention to detect and mask or remove sensitive data automatically.
- Cloud Pub/Sub to provide outbound event-driven data and streaming analytics.
- Cloud Source Repositories to control code.
- Cloud Storage to provide object and file storage.
- Data Catalog to provide data taxonomy and data discovery.
- Dataflow to provide inbound streaming data.
Please see the Documentation to get started.
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