IBM Cloud Pak for Data System
GPTKB entity
Statements (55)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:cloud_services
|
| gptkbp:available_on |
gptkb:IBM_Cloud
On-premises Private cloud Public cloud |
| gptkbp:category |
Data management
|
| gptkbp:developed_by |
gptkb:IBM
|
| gptkbp:features |
Data science
Machine learning Data governance Data integration AI capabilities |
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Pak for Data System
|
| gptkbp:integrates_with |
gptkb:IBM_Watson
gptkb:IBM_Db2 gptkb:Apache_Spark gptkb:Hadoop |
| gptkbp:market |
Enterprise market
SMB market |
| gptkbp:offers |
Collaboration tools
Data lineage Self-service analytics Data preparation |
| gptkbp:part_of |
IBM Cloud Pak family
|
| gptkbp:partnerships |
Technology partners
Consulting partners Reseller partners |
| gptkbp:performance |
High availability
Low latency Scalable |
| gptkbp:provides |
Data catalog
Data virtualization Data quality tools |
| gptkbp:regulatory_compliance |
gptkb:HIPAA
gptkb:CCPA gptkb:GDPR |
| gptkbp:release_date |
gptkb:2020
|
| gptkbp:security_features |
Encryption
Access control Audit logging |
| gptkbp:support |
gptkb:Documentation
24/7 customer support Community forums |
| gptkbp:supports |
Hybrid cloud
Multi-cloud |
| gptkbp:target_audience |
Business analysts
Data scientists Data engineers |
| gptkbp:training |
Online courses
Webinars Certification programs |
| gptkbp:uses |
gptkb:Kubernetes
gptkb:Open_Shift |
| gptkbp:bfsParent |
gptkb:IBM
|
| gptkbp:bfsLayer |
4
|