Red Hat OpenShift Data Science
GPTKB entity
Statements (55)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Platform
|
| gptkbp:developedBy |
gptkb:Red_Hat
|
| gptkbp:enables |
Data visualization
Model training Collaboration among data scientists Experiment tracking |
| gptkbp:facilitates |
Model deployment
|
| https://www.w3.org/2000/01/rdf-schema#label |
Red Hat OpenShift Data Science
|
| gptkbp:includes |
Pre-built machine learning frameworks
|
| gptkbp:integratesWith |
OpenShift
|
| gptkbp:isAvailableIn |
Hybrid cloud
Private cloud Public cloud |
| gptkbp:isCompatibleWith |
Cloud environments
|
| gptkbp:isIntegratedWith |
GitHub
Jenkins GitLab |
| gptkbp:isKnownFor |
Flexibility
Performance Scalability Ease of use Integration capabilities |
| gptkbp:isPartOf |
Enterprise solutions
Red_Hat_OpenShift_ecosystem |
| gptkbp:isSupportedBy |
Technical support
Community forums |
| gptkbp:isUsedBy |
Data scientists
|
| gptkbp:isUsedFor |
Data analysis
Predictive modeling AI development |
| gptkbp:isUsedIn |
Research institutions
Startups Corporations |
| gptkbp:offers |
gptkb:Data_Science_Workbench
Scalability Security features Training resources Customizable environments API_access |
| gptkbp:provides |
Collaboration tools
Documentation Resource management Monitoring tools User management Machine_Learning_tools |
| gptkbp:providesAccessTo |
Data sources
|
| gptkbp:supports |
Python
R Version control Distributed computing Kubernetes Containerized applications Data pipelines Big_Data_analytics |
| gptkbp:utilizes |
gptkb:Jupyter_Notebooks
|