IBM Cloud Data Science Workbench
GPTKB entity
Properties (62)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Company
|
| gptkbp:allows |
integration with third-party tools
|
| gptkbp:developedBy |
gptkb:IBM
|
| gptkbp:enables |
data visualization
team-based projects |
| gptkbp:facilitates |
data sharing
machine learning model development |
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Data Science Workbench
|
| gptkbp:includes |
data preparation tools
data storage solutions |
| gptkbp:integratesWith |
gptkb:IBM_Watson
|
| gptkbp:isAccessibleBy |
web interface
|
| gptkbp:isAvailableIn |
gptkb:IBM_Cloud_Marketplace
multiple regions enterprise users individual users |
| gptkbp:isCompatibleWith |
Docker
Kubernetes |
| gptkbp:isIntegratedWith |
gptkb:IBM_Cloud_Pak_for_Data
|
| gptkbp:isOptimizedFor |
scalability
|
| gptkbp:isPartOf |
gptkb:IBM_Cloud
gptkb:IBM_AI_ecosystem |
| gptkbp:isSuitableFor |
large datasets
|
| gptkbp:isSupportedBy |
IBM_community
|
| gptkbp:isUsedFor |
predictive analytics
data exploration |
| gptkbp:isUsedIn |
enterprise applications
academic research financial services marketing analytics healthcare_analytics |
| gptkbp:isUtilizedFor |
business analysts
data analysts data engineers |
| gptkbp:offers |
gptkb:Jupyter_Notebooks
customizable dashboards real-time data processing training resources data science lifecycle management data import/export features version control for projects API_access |
| gptkbp:provides |
security features
user-friendly interface performance monitoring tools data security compliance model deployment capabilities data cataloging features automated machine learning features collaborative data science environment collaborative notebooks |
| gptkbp:supports |
Python
R cloud computing data governance data lineage tracking big data analytics real-time collaboration data modeling data wrangling collaboration among data scientists data pipeline creation |