IBM Cloud Pak for Data platform
GPTKB entity
Statements (56)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Cloud_Computing_Service
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:Info_Sphere_Information_Server
|
| gptkbp:character_customization |
specific business needs
|
| gptkbp:constructed_in |
open standards
|
| gptkbp:developed_by |
gptkb:CEO
|
| gptkbp:enables |
collaboration among data teams
|
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Pak for Data platform
|
| gptkbp:includes |
gptkb:boxing_match
|
| gptkbp:integrates_with |
gptkb:IBM_Db2
gptkb:IBM_Cognos_Analytics gptkb:park |
| gptkbp:is_aimed_at |
large organizations
|
| gptkbp:is_available_on |
gptkb:IBM_Cloud
hybrid cloud environments on-premises infrastructure |
| gptkbp:is_compatible_with |
open-source tools
|
| gptkbp:is_designed_for |
enterprise data management
|
| gptkbp:is_designed_to |
reduce data silos
accelerate data-driven decision making |
| gptkbp:is_known_for |
integrating AI with data management.
|
| gptkbp:is_part_of |
IBM Cloud ecosystem
IBM's AI strategy IBM's cloud strategy |
| gptkbp:is_recognized_for |
enterprise data solutions
|
| gptkbp:is_scalable |
large datasets
|
| gptkbp:is_used_by |
business analysts
data scientists data engineers |
| gptkbp:is_used_for |
business intelligence
data analytics |
| gptkbp:is_used_to |
enhance data accessibility
|
| gptkbp:offers |
data cataloging
machine learning capabilities collaborative workspaces data quality services automated data preparation pre-built data services |
| gptkbp:passes_through |
gptkb:fortification
|
| gptkbp:provides |
API access
data governance data integration data lineage tracking data visualization tools real-time data processing data management data modeling tools data science tools data privacy features |
| gptkbp:released_in |
gptkb:2019
|
| gptkbp:supports |
data security
data sharing multi-cloud environments AI and machine learning data lakes data warehouses |