Real-Time Analytics and Stream Processing

  1. Core Components of Streaming Pipelines
    1. Data Ingestion and Collection
      1. Message Queues and Pub/Sub Systems
        1. Role in Decoupling Producers and Consumers
          1. Asynchronous Communication
            1. Load Balancing
              1. Fault Isolation
              2. Messaging System Examples
                1. Apache Kafka
                  1. Apache Pulsar
                    1. Amazon Kinesis
                      1. Google Pub/Sub
                    2. Log Aggregation
                      1. Collecting and Centralizing Logs
                        1. Distributed System Logging
                          1. Log Shipping Mechanisms
                          2. Use Cases in Analytics
                            1. Application Monitoring
                              1. Security Analysis
                                1. Business Intelligence
                              2. Change Data Capture
                                1. Capturing Database Changes
                                  1. Transaction Log Mining
                                    1. Trigger-Based Capture
                                    2. Streaming CDC Events
                                      1. Real-Time Synchronization
                                        1. Event-Driven Updates
                                    3. Stream Processing Engines
                                      1. Processing Framework Role
                                        1. Orchestration of Data Flows
                                          1. Task Scheduling
                                            1. Resource Management
                                            2. Fault Tolerance and State Management
                                              1. Checkpoint Coordination
                                                1. Recovery Orchestration
                                              2. Execution Models
                                                1. Record-at-a-Time Processing
                                                  1. Low Latency Processing
                                                    1. Memory Efficiency
                                                    2. Micro-Batch Processing
                                                      1. Throughput Optimization
                                                        1. Simplified Fault Tolerance
                                                        2. Parallelism and Partitioning
                                                          1. Data Partitioning Strategies
                                                            1. Task Parallelization
                                                        3. Data Storage Components
                                                          1. Raw Event Storage
                                                            1. Data Lakes for Event Storage
                                                              1. Schema-on-Read Approach
                                                                1. Cost-Effective Storage
                                                                2. Integration with Streaming Systems
                                                                  1. Direct Streaming Writes
                                                                    1. Batch Export Capabilities
                                                                  2. Processed Results Storage
                                                                    1. Serving Databases
                                                                      1. Low-Latency Querying
                                                                        1. OLTP Characteristics
                                                                        2. Database Examples
                                                                          1. Key-Value Stores
                                                                            1. Document Databases
                                                                              1. Time Series Databases
                                                                            2. Application State Storage
                                                                              1. State Backends and Persistence
                                                                                1. In-Memory State Stores
                                                                                  1. Persistent State Stores
                                                                                  2. Scalability Considerations
                                                                                    1. State Partitioning
                                                                                      1. Backup and Recovery
                                                                                  3. Serving and Visualization Layer
                                                                                    1. Real-Time Dashboards
                                                                                      1. Visualization Tools and Techniques
                                                                                        1. Live Data Binding
                                                                                          1. Interactive Charts
                                                                                          2. Dashboard Use Cases
                                                                                            1. Operational Monitoring
                                                                                              1. Business Metrics
                                                                                            2. Alerting Systems
                                                                                              1. Real-Time Alert Generation
                                                                                                1. Threshold-Based Alerts
                                                                                                  1. Anomaly Detection Alerts
                                                                                                  2. Integration with Notification Systems
                                                                                                    1. Email Notifications
                                                                                                      1. SMS and Push Notifications
                                                                                                        1. Incident Management Systems
                                                                                                      2. Application Integration APIs
                                                                                                        1. Exposing Processed Data
                                                                                                          1. REST APIs
                                                                                                            1. GraphQL Endpoints
                                                                                                            2. Supporting Downstream Applications
                                                                                                              1. Real-Time Data Feeds
                                                                                                                1. Webhook Integrations

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                                                                                                          3. System Architectures for Real-Time Data

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                                                                                                          5. Stream Processing Frameworks and Technologies