Statements (78)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
DataOps platform
|
| gptkbp:developedBy |
gptkb:IBM
|
| gptkbp:enables |
data enrichment
data visualization data-driven decision making automated workflows data analytics capabilities data strategy development collaboration among data teams data democratization data strategy implementation |
| gptkbp:enhances |
business intelligence
data analytics |
| gptkbp:facilitates |
data sharing
data lifecycle management data collaboration data-driven innovation data collaboration across teams data collaboration environments |
| https://www.w3.org/2000/01/rdf-schema#label |
IBM Cloud Paks for DataOps
|
| gptkbp:includes |
data visualization tools
data preparation tools machine learning capabilities data governance frameworks data governance tools data modeling tools data profiling tools data visualization dashboards data cataloging features |
| gptkbp:integratesWith |
gptkb:IBM_Cloud_Pak_for_Integration
gptkb:IBM_Cloud_Pak_for_Automation gptkb:IBM_Cloud_Pak_for_Data_Science gptkb:IBM_Watson gptkb:IBM_Cloud_Pak_for_Data gptkb:IBM_Cloud_Pak_for_Security gptkb:IBM_Cloud_Pak_for_Applications third-party tools |
| gptkbp:offers |
performance monitoring
data access controls data management solutions data quality tools data access APIs collaborative workspaces data access management data access solutions API_management |
| gptkbp:provides |
data insights
data integration data lineage tracking data transformation capabilities real-time data processing self-service analytics data storage solutions data orchestration data insights generation data insights tools |
| gptkbp:supports |
agile methodologies
regulatory compliance data analytics tools data governance data migration data security multi-cloud environments data science data warehousing data quality management data analytics initiatives data integration processes data quality frameworks data analytics platforms data analytics frameworks data analytics lifecycle |
| gptkbp:utilizes |
microservices architecture
AI-driven insights cloud-native architecture data science methodologies containerization technology data analytics technologies |