IBM Cloud Pak for Data Engineering

GPTKB entity

Statements (54)
Predicate Object
gptkbp:instanceOf gptkb:Cloud_Computing_Service
gptkbp:availableIn gptkb:IBM_Cloud
On-Premises
gptkbp:developedBy gptkb:IBM
gptkb:PyTorch
TensorFlow
Scikit-learn
gptkbp:features Collaboration Tools
Data Cataloging
Data Preparation
Data_Quality
Automated_Workflows
gptkbp:hasAmenities gptkb:IBM_Knowledge_Center
gptkbp:hasOccupation gptkb:IBM_Support_Services
IBM_Community_Forum
gptkbp:hasPart gptkb:IBM_Watson_Knowledge_Catalog
gptkb:IBM_Cloud_Object_Storage
gptkb:IBM_Watson_Studio
gptkb:IBM_DataStage
gptkb:IBM_InfoSphere
gptkbp:hasVersion 4.0
https://www.w3.org/2000/01/rdf-schema#label IBM Cloud Pak for Data Engineering
gptkbp:integratesWith gptkb:IBM_Watson
gptkb:IBM_Db2
gptkb:Apache_Kafka
gptkb:Apache_Spark
gptkbp:isInvolvedIn GDPR
HIPAA
gptkbp:isPartOf gptkb:IBM_Cloud_Pak_Family
gptkbp:offers Data Security
Data Lineage
AI Integration
DataOps
Real-time_Data_Processing
Batch_Data_Processing
gptkbp:officialLanguage gptkb:SQL
Python
R
gptkbp:provides Data Visualization
Data Governance
Data_Integration
ETL_Tools
Data_Science_Tools
Data_Lake_Management
gptkbp:releasedIn 2020
gptkbp:supports Machine Learning
Hybrid Cloud
Multi-Cloud
Data_Analytics
gptkbp:targets Data Analysts
Data_Scientists
Data_Engineers
gptkbp:uses Docker
Kubernetes