Statements (58)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:developedBy |
gptkb:IBM
|
| gptkbp:enables |
data sharing
data-driven decision making data science |
| gptkbp:facilitates |
collaboration among data teams
|
| https://www.w3.org/2000/01/rdf-schema#label |
Cloud Pak for Data
|
| gptkbp:includes |
visualization tools
data preparation tools data governance tools |
| gptkbp:integratesWith |
gptkb:IBM_Watson
|
| gptkbp:isAvailableIn |
gptkb:IBM_Cloud
multiple regions a subscription service premises |
| gptkbp:isCompatibleWith |
multiple data sources
open-source tools |
| gptkbp:isDesignedFor |
data engineers
enterprise data management |
| gptkbp:isIntegratedWith |
gptkb:IBM_Cloud_Object_Storage
gptkb:IBM_Db2 |
| gptkbp:isOptimizedFor |
AI workloads
|
| gptkbp:isPartOf |
IBM's_AI_strategy
IBM's_data_strategy IBM's_hybrid_cloud_strategy IBM_Cloud_ecosystem |
| gptkbp:isRated |
Kubernetes
|
| gptkbp:isSuitableFor |
large datasets
|
| gptkbp:isUsedBy |
business analysts
data scientists |
| gptkbp:isUsedFor |
business intelligence
cloud environments data monetization data visualization predictive analytics analytics |
| gptkbp:offers |
data insights
self-service analytics data virtualization data quality features collaborative workspaces |
| gptkbp:provides |
data cataloging
data lineage tracking data management capabilities data security features data access controls data visualization capabilities API_access |
| gptkbp:providesAccessTo |
data lakes
|
| gptkbp:supports |
machine learning
data analytics data integration data migration data transformation real-time analytics data privacy compliance data exploration |
| gptkbp:utilizes |
AI technologies
|