Dataproc

GPTKB entity

Statements (62)
Predicate Object
gptkbp:instance_of gptkb:cloud_services
gptkbp:can_be_used_for Streaming Data Processing
gptkbp:developed_by gptkb:Google_Cloud
https://www.w3.org/2000/01/rdf-schema#label Dataproc
gptkbp:integrates_with gptkb:Google
gptkb:Google_Cloud_Platform
gptkb:cloud_storage
gptkbp:is_accessible_by gptkb:video_game
gptkb:Command_Line_Interface
REST API
gptkbp:is_available_in Multiple Regions
Multiple Zones
gptkbp:is_available_on gptkb:Google_Cloud_Platform
gptkbp:is_compatible_with gptkb:Kubernetes
gptkb:Docker
gptkbp:is_effective_against Large Datasets
Short-lived Jobs
gptkbp:is_integrated_with gptkb:Apache_Pig
gptkb:Apache_Hive
gptkb:Apache_Flink
gptkbp:is_optimized_for gptkb:performance
Cost Efficiency
gptkbp:is_part_of Google Cloud Ecosystem
gptkbp:is_scalable Global Scale
gptkbp:is_used_by gptkb:Analysts
Data Scientists
Data Engineers
gptkbp:is_used_for gptkb:machine_learning
Data Analysis
Data Warehousing
gptkbp:is_user_friendly gptkb:developers
Businesses
gptkbp:language_support gptkb:Java
gptkb:Python
gptkb:Scala
gptkbp:offers Data Processing
Data Visualization Tools
Monitoring and Logging
Cluster Management
Job Scheduling
Custom Images
Job Monitoring
Cluster Configuration
gptkbp:provides Batch Processing
Real-time Processing
Security Features
Interactive Analysis
Managed Spark and Hadoop
gptkbp:scales Up to thousands of nodes
gptkbp:suitable_for Data Lakes
ETL Processes
Data Pipelines
gptkbp:supports gptkb:Jupyter_Notebooks
gptkb:Identity_and_Access_Management
Data Encryption
Big Data Processing
Preemptible VMs
Autoscaling
gptkbp:uses gptkb:Apache_Spark
gptkb:Hadoop
gptkbp:bfsParent gptkb:cloud_services
gptkbp:bfsLayer 4