Oracle Data Science Platform
GPTKB entity
Statements (66)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Data_Analytics
|
| gptkbp:allows |
collaboration among data scientists
|
| gptkbp:developed_by |
gptkb:Oracle_Corporation
|
| gptkbp:enables |
data preparation
data-driven decision making predictive analytics real-time analytics AI model training collaborative model building |
| gptkbp:facilitates |
business intelligence
data sharing model evaluation data-driven insights model deployment |
| gptkbp:features |
data visualization tools
|
| https://www.w3.org/2000/01/rdf-schema#label |
Oracle Data Science Platform
|
| gptkbp:includes |
version control
data pipelines data transformation tools notebooks model monitoring pre-built algorithms data connectors data science frameworks |
| gptkbp:integrates_with |
gptkb:Oracle_Cloud_Infrastructure
gptkb:Oracle_Analytics_Cloud |
| gptkbp:language_support |
gptkb:Python
gptkb:R |
| gptkbp:offers |
customizable workflows
cloud-based solutions data governance features multi-cloud capabilities automated machine learning tools real-time collaboration tools data science certifications model management capabilities data science templates |
| gptkbp:provides |
API access
collaborative tools security features training resources user-friendly interface scalable infrastructure cloud-native architecture interactive dashboards collaborative data science environment business analytics capabilities end-to-end data science solutions |
| gptkbp:provides_access_to |
data from various sources
|
| gptkbp:supports |
gptkb:machine_learning
data analysis team collaboration big data processing data integration data modeling data storytelling data quality management data exploration experiment tracking data wrangling data security compliance data exploration tools data science lifecycle |
| gptkbp:utilizes |
gptkb:Oracle_Autonomous_Database
|
| gptkbp:bfsParent |
gptkb:Oracle_Cloud_Infrastructure_Data_Lake
|
| gptkbp:bfsLayer |
5
|