Streaming Data Processing

9.

Emerging Trends and Future Directions

9.1.

Edge Stream Processing

9.1.1.

Edge Computing Integration

9.1.2.

Distributed Processing Models

9.1.3.

Latency Optimization

9.1.4.

Resource Constraints

9.2.

Multi-tenant Stream Processing

9.2.1.

Tenant Isolation

9.2.2.

Resource Sharing

9.2.3.

Performance Isolation

9.2.4.

Security Boundaries

9.3.

Data Mesh Integration

9.3.1.

Domain-oriented Data

9.3.2.

Self-serve Data Infrastructure

9.3.3.

Federated Governance

9.3.4.

Data Product Thinking

9.4.

Privacy-preserving Processing

9.4.1.

Differential Privacy

9.4.2.

Homomorphic Encryption

9.4.3.

Secure Multi-party Computation

9.4.4.

Privacy-preserving Analytics

9.5.

Heterogeneous Data Integration

9.5.1.

Multi-format Processing

9.5.2.

Schema Evolution

9.5.3.

Data Quality Management

9.5.4.

Semantic Integration

9.6.

Quantum Stream Processing

9.6.1.

Quantum Computing Integration

9.6.2.

Quantum Algorithms

9.6.3.

Hybrid Classical-Quantum Systems

9.7.

AI-driven Stream Processing

9.7.1.

Automated Optimization

9.7.2.

Intelligent Resource Management

9.7.3.

Self-healing Systems

9.7.4.

Predictive Analytics Integration

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8. Operations and Production

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1. Introduction to Streaming Data