Google Lakehouse
The Lakehouse API (formerly BigLake API) provides access to a serverless, fully managed, and highly available metastore that provides a single source (Google OAuth2).
OCNORA ships 9 typed Google Lakehouse operations. Each node has a schema-driven form, input and output tables beside its settings, and is pre-flighted by Workflow Health before your first real run.
Before you connect Google Lakehouse
- Authentication
- OAuth 2.0
- Credential
- {"client_id", "client_secret", "refresh_token"}
- Connection test
- Available: the stored credential can be checked against the provider when you add it. This is not a record that a test was run or passed.
What you can do with Google Lakehouse
Operations, grouped by what they do to your data.
Create and send 2
Read and search 4
Update 1
Delete and cancel 2
A sample Google Lakehouse workflow
- 1A core triggerStart the run from a chat, form, manual, schedule, webhook, workflow trigger — no Google Lakehouse trigger is needed.
- 2Get Catalogbiglake.get_catalogGets the catalog specified by the resource name.
- 3Create Catalogbiglake.create_catalogCreates a new catalog.
An outline built from this provider’s node contracts, not a recorded run. Each step’s output fields are available to the next in the field picker.
Every node below has a reference page: what it does, the connection it needs, its config fields with types, constraints and examples, and the shapes it emits.
Operations 9
- Create CatalogCreates a new catalog.biglake.create_catalog
- Create DatabaseCreates a new database.biglake.create_database
- Delete CatalogDeletes an existing catalog specified by the catalog ID.biglake.delete_catalog
- Delete DatabaseDeletes an existing database specified by the database ID.biglake.delete_database
- Get CatalogGets the catalog specified by the resource name.biglake.get_catalog
- Get DatabaseGets the database specified by the resource name.biglake.get_database
- List CatalogsList all catalogs in a specified project.biglake.list_catalogs
- List DatabasesList all databases in a specified catalog.biglake.list_databases
- Update DatabaseUpdates an existing database specified by the database ID.biglake.update_database
Google Lakehouse questions
- How does OCNORA authenticate with Google Lakehouse?
- With a stored OAuth 2.0 credential, shaped {"client_id", "client_secret", "refresh_token"}. A connection test can check it when you add it.
- What can I automate with Google Lakehouse?
- 9 typed operations, each with a reference page listing its config fields and the shapes it emits.
- What if the Google Lakehouse operation I need is not listed?
- Where Google Lakehouse has an HTTP API, call it from the HTTP node with the same credential, or describe the step to the AI builder, which asks our team for a typed node when one is missing.
- Are there templates that use Google Lakehouse?
- Not yet. Start from a blank workflow, or describe the workflow to Build with AI.
- How are Google Lakehouse calls controlled?
- Every call and every run step is audited, runs count against the execution budget, and Workflow Health pre-flights the workflow when you save it.
See your first Google Lakehouse workflow run.
Book a technical demo. We add the connection, pick a template or describe the workflow to Build with AI, and Workflow Health checks it before it runs.