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Contemporary Issues of Big Data - Coggle Diagram
Contemporary Issues of Big Data
Cost Management
Operational Costs
Maintenance and management expenses
Cost-benefit analysis
Cloud Costs
Over-provisioning expenses
Cloud resource optimization
Environmental Impact
Sustainability Practices
Carbon footprint reduction
Renewable energy adoption
Energy consumption
Green computing initiatives
Data center efficiency
Ethical Concerns
Bias in Data
Algorithmic bias
Fairness in data analysis
Ethical Data Use
Transparency in data collection
Ethical AI practices
Data Storage and Management
Data Integration
ETL (Extract, Transform, Load) process complexity
Data silos
Data Variety
Structured & unstructured data
Data integration complexity
Data Volume Growth
Data lifecycle management
Data archiving challenges
Storage capacity limitations
Data Quality and Privacy
Data Varacity
Data accuracy issues
Missing or incomplete data
Data cleansing requirements
Data Privacy
GDPR, CCPA compliance
Data anonymization and masking
Data security breaches
Technical Challenges
Data Processing Speed
Real-time data processing needs
Batch processing limitations
Scalability Issues
System scalability bottlenecks
Performance degradation
Talent and Skills Gap
Shortage of Experts
Lack of skilled data engineers
Demand for data scientists
Training and Developing
Employee skill enhancement
Certifications and courses