IBM Cloud Pak for Data System
GPTKB entity
Properties (51)
Predicate | Object |
---|---|
gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
gptkbp:category |
Data management
|
gptkbp:competesWith |
gptkb:Amazon_Web_Services
gptkb:Google_Cloud_Platform gptkb:Microsoft_Azure_Data_Services |
gptkbp:developedBy |
gptkb:IBM
|
gptkbp:features |
Data science
Machine learning Data governance Data integration AI capabilities |
gptkbp:hasAmenities |
gptkb:IBM_Knowledge_Center
|
gptkbp:hasEmployees |
Hybrid
Cloud On-premises |
gptkbp:hasFacility |
Various industries
|
gptkbp:hasOccupation |
IBM_Community_Forum
IBM_Support |
gptkbp:hasPrograms |
IBM_Training_and_Certification
|
https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Pak for Data System
|
gptkbp:integratesWith |
gptkb:IBM_Cloud
Kubernetes OpenShift |
gptkbp:isAvailableIn |
Multiple regions
|
gptkbp:isCompatibleWith |
Various data sources
|
gptkbp:isKnownFor |
Flexibility
Scalability Security Integration capabilities |
gptkbp:isOptimizedFor |
Business intelligence
Data analytics |
gptkbp:isPartOf |
IBM's_AI_strategy
IBM's_data_strategy IBM_Cloud_Pak_family |
gptkbp:isSuitableFor |
Large datasets
|
gptkbp:isUsedBy |
Large enterprises
Small and medium businesses |
gptkbp:offers |
Collaboration tools
Data lineage tracking Data privacy features Pre-built data models |
gptkbp:provides |
Data catalog
Data virtualization Data quality tools |
gptkbp:releaseDate |
2020
|
gptkbp:supports |
Hybrid cloud
Multi-cloud |
gptkbp:targets |
Business analysts
Data scientists Data engineers |
gptkbp:uses |
gptkb:IBM_Watson
|