Google Dataflow

GPTKB entity

Statements (57)
Predicate Object
gptkbp:instance_of gptkb:Data
gptkbp:can_be_used_for ETL processes
data integration
data transformation
real-time analytics
gptkbp:developed_by gptkb:Google
gptkbp:has user-friendly interface
https://www.w3.org/2000/01/rdf-schema#label Google Dataflow
gptkbp:integrates_with gptkb:Google
gptkb:cloud_storage
gptkb:Google_Pub/_Sub
gptkbp:is_accessible_by REST API
gcloud command-line tool
gptkbp:is_available_in multiple regions
gptkbp:is_compatible_with gptkb:Kubernetes
gptkb:Google_Cloud_Platform
gptkbp:is_documented_in Google Cloud documentation
gptkbp:is_known_for low latency
high throughput
flexible resource management
gptkbp:is_managed_by Google Cloud team
gptkbp:is_monitored_by gptkb:Stackdriver_Monitoring
Cloud Monitoring
gptkbp:is_optimized_for Google Cloud infrastructure
gptkbp:is_part_of gptkb:Google_Cloud_Platform
data analytics ecosystem
gptkbp:is_scalable large datasets
high-velocity data streams
gptkbp:is_used_by gptkb:developers
data scientists
data engineers
gptkbp:is_used_in business intelligence
data warehousing
machine learning workflows
gptkbp:launched_in gptkb:2014
gptkbp:offers auto-scaling
cost-effective pricing
data pipeline monitoring
gptkbp:provides data lineage tracking
data visualization tools
error handling
serverless execution
stateful processing
data processing pipelines
windowing and triggering
dataflow templates
gptkbp:supports gptkb:Cloud_Pub/_Sub
gptkb:Apache_Kafka
gptkb:Android
custom metrics
data sharding
batch data processing
streaming data processing
Python SDK
gptkbp:uses gptkb:weapons
gptkbp:bfsParent gptkb:cloud_storage
gptkbp:bfsLayer 4