OCI AI Data Platform
Managed lakehouse workbench pairing Spark compute with an Autonomous AI Lakehouse for data and AI workflows.
- Provider
- oci
- Kind
- Big data cluster
- Category
- Compute
| property | type | values | required | kind default | this component |
|---|---|---|---|---|---|
| autoscaling | boolean | — | no | false | inherited |
| encryptionKey | enum | oracle-managed | customer-managed | no | oracle-managed | inherited |
| engine | enum | spark | hadoop | presto | flink | hpc | ray | dask | kubernetes-batch | no | — | ▸ spark |
| lakehouseAttached | boolean | — | no | true | inherited |
| managed | boolean | — | no | false | ▸ true |
| runtimeVersion | string | — | no | — | inherited |
| sessionLifetimeHours | integer | — | no | 8 | inherited |
| spotInstances | boolean | — | no | false | inherited |
| workerNodes | integer | — | no | — | inherited |
| zoneRedundant | boolean | — | no | — | inherited |
Every rule whose selector covers this component's kind or its category. Whether a rule fires depends on the design: its properties, its edges and its groups.
stateful-node-without-zone-redundancy
A stateful compute node pinned to exactly one availability zone disappears with that zone, and its state goes with it. Nodes inside a cell are exempt, because there the cell is deliberately single-zone and redundancy comes from the other cells.
- — all of these hold:
- — the node's `stateless` is false
- — the node sits inside exactly 1 availability-zone group
- — this does not hold:
- — the node sits inside at least one cell group
nodes:
- { id: "ai-data-platform", component: "oci-ai-data-platform" }Elastic High Performance Computingalibaba-e-hpcE-MapReducealibaba-e-mapreduceAWS Clean Roomsaws-clean-roomsAmazon EMRaws-emrAmazon EMR Serverlessaws-emr-serverlessAWS Parallel Computing Serviceaws-pcsAmazon SageMaker HyperPodaws-sagemaker-hyperpodAzure CycleCloudazure-cyclecloudAzure Databricksazure-databricksAzure HDInsightazure-hdinsightArmadaarmadaGeneric big data clusterbig-data-clusterDaskdaskDatabricksdatabricksApache Hadoop YARNhadoop-yarnRayraySlurmslurmApache Spark clusterspark-clusterVolcanovolcanoCluster Directorgoogle-cluster-directorDataprocgoogle-dataprocManaged Service for Apache Spark (serverless)google-dataproc-serverlessIBM Analytics Engineibm-analytics-engineOCI Big Data Serviceoci-big-data-serviceOCI Data Flowoci-data-flow
# yaml-language-server: $schema=../../schema/component.schema.json # OCI AI Data Platform workbench: a managed lakehouse workspace for building and orchestrating data workflows. # "Get Started with Oracle AI Data Platform Workbench" states an Oracle Autonomous AI Lakehouse instance must # be created and configured as part of the workbench and serves as the default vector store, that Spark compute # is configured per workbench, that data at rest is encrypted with Oracle-managed keys unless a Vault # customer-managed key is chosen at creation, and that user sessions expire after 8 hours. schemaVersion: "1" type: "component" id: "oci-ai-data-platform" kind: "big-data-cluster" provider: "oci" docs: "https://docs.oracle.com/en/cloud/paas/ai-data-platform/aidug/get-started-oracle-ai-data-platform.html" defaults: managed: true engine: "spark" properties: encryptionKey: type: "enum" values: ["oracle-managed", "customer-managed"] default: "oracle-managed" lakehouseAttached: type: "boolean" default: true sessionLifetimeHours: type: "integer" default: 8