Databricks
Query prepared data and bring reproducible analysis into an investigation report.
Put this connection to work Read the platform connection docs
Investigate a process trend. Use the permitted Databricks records and show me the supporting evidence.
Query an agreed dataset and produce charts with the query and source context retained.
Authorised SQL results, jobs and workspace resources exposed by Databricks APIs.
Investigate a process trend
- Findings linked to source records
- Missing evidence and unresolved questions
- Follow-up work for your team
What’s connected.
Query prepared data and bring reproducible analysis into an investigation report. Scope an API integration so neil can use the permitted records to prepare analysis, reports and follow-up work.
Connection setup and permissions
Use Databricks workspace APIs and an approved SQL endpoint. Scope credentials, catalogs and compute access; preserve query parameters and retrieval context.
This is an API integration option to scope and implement, not a ready-made Seal connector. Start with read access; any source-system changes need separately configured actions and controls.
What could neil do with Databricks?
Once the relevant API access and data mappings are configured:
- Investigate a process trend
- Query an agreed dataset and produce charts with the query and source context retained.
- Compare sites or products
- Analyse consistently defined cohorts and state the limits of the comparison.
- Prepare an analysis report
- Combine approved query results with source documents and unanswered questions.
Connection questions.
Will this work with our Databricks environment?
We check your product edition, API availability, authentication and permitted records against the job you want neil to do. The linked provider documentation describes the interface; it does not mean a connection is already installed in Seal.
Before it goes live.
Access and write-back
Reading records and writing back are separate decisions. Define which records are in scope, whose permissions apply and which changes require approval.
Data and failure handling
Agree the field mapping, identifiers, units and source of record. Test missing or duplicate data, interrupted transfers and recovery before relying on the connection.
Verification and release
Review the configured connection for its intended use. Keep the requirements, checks and evidence with the change, and approve the release through your team’s controls.