Real-Time Analytics and Stream Processing

  1. Algorithms and Analytics on Streams
    1. Basic Stream Transformations
      1. Map Operations
        1. One-to-One Transformations
          1. Stateless Processing
          2. FlatMap Operations
            1. One-to-Many Transformations
              1. Event Expansion
              2. Filter Operations
                1. Selective Processing
                  1. Predicate-Based Filtering
                2. Stateful Aggregations
                  1. Counting Operations
                    1. Per-Key Counting
                      1. Windowed Counts
                        1. Distinct Counting
                        2. Sum Calculations
                          1. Running Totals
                            1. Windowed Sums
                            2. Average Calculations
                              1. Running Averages
                                1. Windowed Averages
                                  1. Exponential Moving Averages
                                  2. Histogram Building
                                    1. Frequency Distributions
                                      1. Quantile Estimation
                                        1. Approximate Histograms
                                      2. Stream Joins
                                        1. Stream-to-Stream Joins
                                          1. Windowed Joins
                                            1. Time-Based Join Windows
                                              1. Join Semantics
                                              2. Handling Out-of-Order Events
                                                1. Late Data in Joins
                                                  1. Watermark Coordination
                                                2. Stream-to-Table Joins
                                                  1. Enriching Streams with Reference Data
                                                    1. Lookup Operations
                                                      1. Dimension Table Joins
                                                      2. Consistency Considerations
                                                        1. Eventual Consistency
                                                          1. Snapshot Isolation
                                                      3. Pattern Recognition and Complex Event Processing
                                                        1. Event Pattern Definition
                                                          1. Sequence Patterns
                                                            1. Ordered Event Sequences
                                                              1. Pattern Matching Logic
                                                              2. Temporal Constraints
                                                                1. Time-Based Conditions
                                                                  1. Duration Constraints
                                                                2. Event Sequence Detection
                                                                  1. Event Correlation
                                                                    1. Cross-Event Relationships
                                                                      1. Context Matching
                                                                      2. CEP Use Cases
                                                                        1. Fraud Detection Patterns
                                                                          1. System Monitoring Patterns
                                                                      3. Machine Learning on Streams
                                                                        1. Online Learning Models
                                                                          1. Incremental Model Updates
                                                                            1. Streaming Model Training
                                                                              1. Concept Drift Handling
                                                                              2. Streaming ML Algorithms
                                                                                1. Online Gradient Descent
                                                                                  1. Streaming Clustering
                                                                                2. Model Serving and Updates
                                                                                  1. Deploying Models in Streaming Pipelines
                                                                                    1. Real-Time Inference
                                                                                      1. Model Integration
                                                                                      2. Model Retraining and Versioning
                                                                                        1. Continuous Learning
                                                                                          1. A/B Testing
                                                                                        2. Anomaly and Outlier Detection
                                                                                          1. Real-Time Detection Techniques
                                                                                            1. Statistical Methods
                                                                                              1. Machine Learning Approaches
                                                                                              2. Use Cases
                                                                                                1. System Monitoring
                                                                                                  1. Security Applications
                                                                                                    1. Quality Control

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                                                                                              6. Data Formats and Serialization

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                                                                                              8. State Management and Fault Tolerance