Statements (59)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Field of study
|
| gptkbp:appliesTo |
Machine Learning
Business_Intelligence |
| gptkbp:challenges |
Data Privacy
Data Security Data_Integration Data_Quality |
| gptkbp:focusesOn |
Processing large volumes of data
|
| https://www.w3.org/2000/01/rdf-schema#label |
Data-Intensive Applications
|
| gptkbp:impact |
Economic Factors
Global Events Competitive Landscape Technological Trends |
| gptkbp:includes |
Distributed Systems
Data Engineering Big_Data |
| gptkbp:influenced |
Regulatory Requirements
Technological Advancements Consumer Behavior Market Demand |
| gptkbp:inheritsFrom |
Artificial Intelligence
Real-time Processing Edge Computing |
| gptkbp:involves |
Data Analysis
Data Collection Data Processing Data_Storage |
| gptkbp:is_characterized_by |
Low Latency
High Throughput Heterogeneous Data Sources Complex_Workflows |
| gptkbp:is_supported_by |
Distributed File Systems
NoSQL Databases SQL Databases Stream Processing Frameworks Batch Processing Frameworks Data_Visualization_Tools Data_Integration_Tools Data_Management_Tools Data_Quality_Tools |
| gptkbp:is_used_in |
Finance
Healthcare Retail Telecommunications Social_Media |
| gptkbp:related_to |
Data Visualization
Data Governance Data_Analytics Data_Science |
| gptkbp:requires |
High Availability
Scalability Fault Tolerance |
| gptkbp:utilizes |
Cloud Computing
Data_Warehousing Data_Lakes |
| gptkbp:visitedBy |
Performance Metrics
Data Accuracy Cost Efficiency User Satisfaction |