Properties (57)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:Cloud_Computing_Service
|
| gptkbp:compatibleWith |
open-source tools
|
| gptkbp:constructedIn |
open standards
|
| gptkbp:deployedTo |
on-premises infrastructure
private cloud public cloud |
| gptkbp:developedBy |
gptkb:IBM
|
| gptkbp:enables |
real-time analytics
collaboration among data scientists |
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Pak for Data
|
| gptkbp:includes |
gptkb:IBM_Watson
|
| gptkbp:integratesWith |
gptkb:IBM_Db2
gptkb:IBM_Cloud gptkb:Apache_Kafka gptkb:Apache_Spark |
| gptkbp:is_available_in |
gptkb:IBM_Cloud_Marketplace
|
| gptkbp:is_designed_to |
data analysts
data engineers business users accelerate data-driven decision making |
| gptkbp:is_integrated_with |
gptkb:IBM_Watson_Knowledge_Catalog
gptkb:IBM_Cloud_Object_Storage gptkb:IBM_Watson_Studio gptkb:IBM_Cloud_Pak_for_Applications |
| gptkbp:is_part_of |
IBM's_AI_strategy
IBM_Cloud_Pak_family |
| gptkbp:is_used_in |
business analysts
business intelligence data analytics data scientists various industries data engineers |
| gptkbp:offers |
data visualization
machine learning capabilities collaborative workspaces data privacy features API_access |
| gptkbp:performance |
large datasets
|
| gptkbp:provides |
data cataloging
data governance data integration data lineage tracking data visualization tools security features data management data quality tools data science tools automated data preparation |
| gptkbp:releasedIn |
2019
|
| gptkbp:runsThrough |
Kubernetes
|
| gptkbp:supports |
data privacy regulations
multi-cloud environments AI and machine learning data lakes data warehouses data governance frameworks |
| gptkbp:targets |
enterprise data
|