Cloud Dataproc clusters

GPTKB entity

Statements (64)
Predicate Object
gptkbp:instanceOf gptkb:cloud_service
gptkbp:enables scalable data processing
managed cluster deployment
gptkbp:feature gptkb:REST_API
gptkb:graphical_user_interface
gptkb:Kerberos_authentication
API access
encryption in transit
GPU support
high availability
auto-scaling
encryption at rest
Java client library
Node.js client library
Python client library
integration with Dataflow
integration with Pub/Sub
integration with Vertex AI
diagnostic tools
IAM integration
VPC support
custom images
custom machine types
preemptible VMs
workflow templates
web interfaces
scheduled jobs
integration with Cloud Composer
integration with Cloud DNS
integration with Cloud Functions
integration with Cloud Identity-Aware Proxy
integration with Cloud Interconnect
integration with Cloud Load Balancing
integration with Cloud SQL
integration with Cloud Spanner
integration with Cloud VPN
integration with Dataplex
serverless Spark jobs
cluster resizing
integration with Cloud Run
single-node clusters
per-minute billing
.NET client library
Jupyter Notebooks integration
R client library
component gateway
initialization actions
integration with Cloud KMS
job history server
secure mode
https://www.w3.org/2000/01/rdf-schema#label Cloud Dataproc clusters
gptkbp:integratesWith gptkb:Google_Cloud_Storage
gptkb:BigQuery
gptkb:Cloud_Bigtable
gptkb:Cloud_Logging
gptkb:Cloud_Monitoring
gptkbp:provides gptkb:Google_Cloud_Platform
gptkbp:supports gptkb:Apache_Hadoop
gptkb:Apache_Hive
gptkb:Apache_Spark
gptkb:Apache_Pig
gptkbp:usedFor big data processing
gptkbp:bfsParent gptkb:Security_Health_Analytics
gptkbp:bfsLayer 6