Open Shift Data Science

GPTKB entity

Statements (67)
Predicate Object
gptkbp:instance_of gptkb:software_framework
gptkbp:bfsLayer 5
gptkbp:bfsParent gptkb:Open_Shift_CLI
gptkbp:collaborations Data engineers
gptkbp:deployment Machine Learning models
gptkbp:developed_by gptkb:Red_Hat
gptkbp:enables Continuous deployment
Continuous integration
Rapid prototyping
Data scientists
gptkbp:facilitates Data visualization
Model evaluation
gptkbp:features Collaborative workspaces
https://www.w3.org/2000/01/rdf-schema#label Open Shift Data Science
gptkbp:includes Model training
Experiment tracking
gptkbp:integrates_with gptkb:Open_Shift_Container_Platform
gptkbp:is_available_in Multiple languages
gptkbp:is_available_on Hybrid cloud
Private cloud
Public cloud
gptkbp:is_compatible_with gptkb:Graphics_Processing_Unit
gptkb:Keras
gptkb:Py_Torch
gptkb:Scikit-learn
gptkbp:is_designed_for Enterprise use
gptkbp:is_integrated_with gptkb:archive
Data lakes
Data warehouses
gptkbp:is_optimized_for gptkb:benchmark
gptkbp:is_part_of Dev Ops practices
Open Shift ecosystem
gptkbp:is_scalable Large datasets
gptkbp:is_supported_by Red Hat support team
gptkbp:is_used_by Data scientists
Data analysts
Machine learning engineers
gptkbp:is_used_for Data analysis
Predictive analytics
Descriptive analytics
Prescriptive analytics
gptkbp:offers gptkb:Jupyter_Notebooks
gptkb:Community_support
Monitoring tools
Data preprocessing tools
Data science lifecycle management
Customizable environments
gptkbp:provides gptkb:document
Resource management
User-friendly interface
API access
Security features
Compliance features
Machine Learning tools
Automated workflows
gptkbp:provides_access_to Data sources
gptkbp:suitable_for Research purposes
Commercial applications
gptkbp:supports gptkb:fortification
Real-time analytics
Version control
Data governance
Multi-cloud environments
Containerized applications
Data ingestion
Scalable applications
gptkbp:utilizes AI and ML frameworks