Statements (60)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:compatibleWith |
Kubernetes
|
| gptkbp:constructedIn |
open-source technologies
|
| gptkbp:developedBy |
gptkb:IBM
|
| gptkbp:enables |
data analytics
|
| gptkbp:facilitates |
collaboration among teams
|
| gptkbp:features |
containerized applications
|
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Paks for Data
|
| gptkbp:includes |
data governance tools
data quality tools data science tools data cataloging features |
| gptkbp:is_aimed_at |
enterprise data solutions
|
| gptkbp:is_available_in |
multiple languages
hybrid cloud private cloud public cloud |
| gptkbp:is_designed_to |
scalability
data-driven organizations improve data quality reduce data silos simplify data management support data-driven decision making |
| gptkbp:is_integrated_with |
gptkb:IBM_Watson
|
| gptkbp:is_known_for |
its user-friendly interface
its integration capabilities |
| gptkbp:is_part_of |
IBM's_AI_strategy
IBM's_analytics_offerings IBM's_cloud_strategy IBM_Cloud_portfolio |
| gptkbp:is_recognized_for |
its flexibility
|
| gptkbp:is_supported_by |
IBM's_customer_service
|
| gptkbp:is_used_in |
regulatory compliance
business intelligence data analysts data enrichment data preparation data scientists enterprise environments various industries data engineers drive digital transformation enhance data collaboration |
| gptkbp:offers |
data visualization tools
security features self-service analytics data integration services automated_data_discovery |
| gptkbp:provides |
data lineage tracking
data management capabilities data virtualization data access controls data security compliance real-time data insights API_access |
| gptkbp:supports |
data migration
multi-cloud environments AI and machine learning data lakes data governance frameworks |