Oracle Cloud Infrastructure Data Flow
GPTKB entity
Statements (57)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
|
| gptkbp:bfsLayer |
3
|
| gptkbp:bfsParent |
gptkb:Database_Management_System
|
| gptkbp:allows |
Real-time Data Processing
|
| gptkbp:developed_by |
gptkb:Database_Management_System
|
| gptkbp:enables |
gptkb:Company
Scalable Data Processing Machine Learning Workflows |
| gptkbp:features |
Job Scheduling
|
| https://www.w3.org/2000/01/rdf-schema#label |
Oracle Cloud Infrastructure Data Flow
|
| gptkbp:integrates_with |
gptkb:Oracle_Cloud_Infrastructure
|
| gptkbp:is_accessible_by |
RESTAPI
|
| gptkbp:is_available_for |
Public Cloud
|
| gptkbp:is_available_in |
Multiple Regions
|
| gptkbp:is_compatible_with |
gptkb:Oracle_Autonomous_Database
Third-party Tools |
| gptkbp:is_designed_for |
Enterprise Use
|
| gptkbp:is_integrated_with |
gptkb:Oracle_Analytics_Cloud
|
| gptkbp:is_optimized_for |
Cloud Environments
|
| gptkbp:is_part_of |
gptkb:Oracle_Cloud_Infrastructure
gptkb:Oracle_Cloud_Platform gptkb:Oracle_Cloud_Services |
| gptkbp:is_scalable |
Large Datasets
|
| gptkbp:is_used_by |
Data Engineers
|
| gptkbp:is_used_for |
Data Analysis
ETL Processes Data Enrichment |
| gptkbp:offers |
Collaboration Features
Cost Management Tools Performance Optimization Tools Data Lake Integration Managed Spark Clusters Custom Spark Libraries Integration with Oracle Data Science User Interface for Job Management |
| gptkbp:provides |
Resource Management
Data Security Features Monitoring and Logging Data Pipeline Management User Management Features Data Source Connectivity Job Execution History Job Execution Environment Job Configuration Options Serverless Apache Spark |
| gptkbp:supports |
gptkb:Database_Management_System
gptkb:Company Batch Processing Data Integration Data Warehousing Data Transformation Big Data Processing Data Quality Management Data Migration Multiple Programming Languages Data Streaming |
| gptkbp:uses |
gptkb:park
|