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Catalogue / big-data-cluster

AWS Clean Rooms

awsBig data clusteraws-clean-rooms

Multi-party collaboration that queries partners' data in place under analysis rules.

Provider
aws
Kind
Big data cluster
Category
Compute
Official docs
https://docs.aws.amazon.com/clean-rooms/latest/userguide/what-is.html
Properties · 3 set by this component
propertytypevaluesrequiredkind defaultthis component
autoscalingboolean—nofalse▸ true
collaborationType · component propertyenumqueries | queries-and-jobs | ml-modelingnoqueriesinherited
cryptographicComputing · component propertyboolean—nofalseinherited
differentialPrivacy · component propertyboolean—nofalseinherited
engineenumspark | hadoop | presto | flink | hpc | ray | dask | kubernetes-batchno—inherited
managedboolean—nofalse▸ true
runtimeVersionstring—no—inherited
spotInstancesboolean—nofalse▸ false
workerNodesinteger—no—inherited
zoneRedundantboolean—no—inherited
Rules that apply · 1

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 redundancyerror
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
Use it in a design
nodes:
  - { id: "clean-rooms", component: "aws-clean-rooms" }
Other Big data cluster products · 25
Elastic High Performance Computingalibaba-e-hpcalibabacloudbig-data-clusterE-MapReducealibaba-e-mapreducealibabacloudbig-data-clusterAmazon EMRaws-emrawsbig-data-clusterAmazon EMR Serverlessaws-emr-serverlessawsbig-data-clusterAWS Parallel Computing Serviceaws-pcsawsbig-data-clusterAmazon SageMaker HyperPodaws-sagemaker-hyperpodawsbig-data-clusterAzure CycleCloudazure-cyclecloudazurebig-data-clusterAzure Databricksazure-databricksazurebig-data-clusterAzure HDInsightazure-hdinsightazurebig-data-clusterArmadaarmadabig-data-clusterGeneric big data clusterbig-data-clusterbig-data-clusterDaskdaskbig-data-clusterDatabricksdatabricksbig-data-clusterApache Hadoop YARNhadoop-yarnbig-data-clusterRayraybig-data-clusterSlurmslurmbig-data-clusterApache Spark clusterspark-clusterbig-data-clusterVolcanovolcanobig-data-clusterCluster Directorgoogle-cluster-directorgcpbig-data-clusterDataprocgoogle-dataprocgcpbig-data-clusterManaged Service for Apache Spark (serverless)google-dataproc-serverlessgcpbig-data-clusterIBM Analytics Engineibm-analytics-engineibmbig-data-clusterOCI AI Data Platformoci-ai-data-platformocibig-data-clusterOCI Big Data Serviceoci-big-data-serviceocibig-data-clusterOCI Data Flowoci-data-flowocibig-data-cluster
Source
# yaml-language-server: $schema=../../schema/component.schema.json
# AWS Clean Rooms collaboration: managed multi-party analysis workspace that "reads data from that data's original
# location and applies built-in analysis rules", running SQL queries or PySpark jobs over configured tables
# ("What is AWS Clean Rooms?"). The basic collaboration is the query-only form; cryptographic computing and
# differential privacy are controls a member configures, not defaults ("Creating a collaboration").
schemaVersion: "1"
type: "component"
id: "aws-clean-rooms"
kind: "big-data-cluster"
provider: "aws"
docs: "https://docs.aws.amazon.com/clean-rooms/latest/userguide/what-is.html"
defaults:
  managed: true
  autoscaling: true
  spotInstances: false
properties:
  collaborationType:
    type: "enum"
    values: ["queries", "queries-and-jobs", "ml-modeling"]
    default: "queries"
  cryptographicComputing:
    type: "boolean"
    default: false
  differentialPrivacy:
    type: "boolean"
    default: false

The same page as markdown, for an agent: /catalogue/components/aws-clean-rooms.md