AWS Data Pipeline
Read list pipelines, get pipeline definition, query objects from Data Pipeline (SigV4).
OCNORA ships 4 typed AWS Data Pipeline 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 AWS Data Pipeline
- Authentication
- API key
- Credential
- {"access_key_id", "secret_access_key"}
- 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 AWS Data Pipeline
Operations, grouped by what they do to your data.
Read and search 3
Other operations 1
A sample AWS Data Pipeline workflow
- 1A core triggerStart the run from a chat, form, manual, schedule, webhook, workflow trigger — no AWS Data Pipeline trigger is needed.
- 2Get Pipeline Definitiondatapipeline.get_pipeline_definitionGets the definition of the specified pipeline.
- 3Write Actiondatapipeline.callRun one of 14 write actions on Data Pipeline.
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 4
- Write ActionRun one of 14 write actions on Data Pipeline.datapipeline.call
- Get Pipeline DefinitionGets the definition of the specified pipeline.datapipeline.get_pipeline_definition
- List PipelinesLists the pipeline identifiers for all active pipelines that you have permission to access.datapipeline.list_pipelines
- Query ObjectsQueries the specified pipeline for the names of objects that match the specified set of conditions.datapipeline.query_objects
AWS Data Pipeline questions
- How does OCNORA authenticate with AWS Data Pipeline?
- With a stored API key credential, shaped {"access_key_id", "secret_access_key"}. A connection test can check it when you add it.
- What can I automate with AWS Data Pipeline?
- 4 typed operations, each with a reference page listing its config fields and the shapes it emits.
- What if the AWS Data Pipeline operation I need is not listed?
- Where AWS Data Pipeline 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 AWS Data Pipeline?
- Not yet. Start from a blank workflow, or describe the workflow to Build with AI.
- How are AWS Data Pipeline 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 AWS Data Pipeline 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.