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Computer Science
Stream Processing
Streaming Data Processing
1. Introduction to Streaming Data
2. Core Concepts in Stream Processing
3. Streaming System Architecture
4. Stream Processing Operations
5. Reliability and Fault Tolerance
6. Advanced Stream Processing
7. Stream Processing Frameworks
8. Operations and Production
9. Emerging Trends and Future Directions
Stream Processing Operations
Stateless Transformations
Filtering Operations
Predicate-based Filtering
Conditional Logic
Data Quality Filtering
Mapping Operations
Field Transformations
Data Type Conversions
Value Computations
Flat-mapping Operations
One-to-many Transformations
Data Expansion
Nested Data Flattening
Projection and Selection
Field Selection
Schema Projection
Data Subset Extraction
Sampling Operations
Random Sampling
Systematic Sampling
Stratified Sampling
Stateful Operations
Aggregation Operations
Window-based Aggregations
Count Aggregations
Sum Aggregations
Average Calculations
Min/Max Operations
Custom Aggregation Functions
Incremental Aggregations
Sliding Window Aggregations
Grouping and Keying
Key Extraction
Partitioning Strategies
Key Distribution
Join Operations
Stream-Stream Joins
Inner Joins
Outer Joins
Windowed Joins
Interval Joins
Stream-Table Joins
Lookup Joins
Enrichment Joins
Temporal Joins
Join Optimization
Join Ordering
State Management
Memory Optimization
Deduplication
Exact Deduplication
Approximate Deduplication
Time-based Deduplication
Pattern Detection
Sequence Pattern Matching
Complex Event Processing
Rule-based Detection
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3. Streaming System Architecture
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5. Reliability and Fault Tolerance