Diploma in Streaming with Kafka/Pulsar and Complex Event Processing

9.9 Streaming Fundamentals: Concepts and Principles
9.9 Introduction to Kafka and Pulsar: Streaming Platforms
9.3 Streaming Benefits: Real-Time and Analytics
9.4 Streaming Use Cases: Common Applications
9.5 Key Streaming Components: Producers, Consumers, Brokers
9.6 Introduction to Events: Types and Structure
9.7 Defining Complex Events: Patterns and Designs
9.8 Introduction to Streaming Architectures
9.9 Additional Tools and Technologies

9.9 Kafka vs. Pulsar Comparison Pulsar: Architectures and Design
9.9 Kafka Design: Brokers, Topics, Partitions
9.3 Pulsar Design: Tenants, Namespaces, Topics
9.4 Communication Protocols: Kafka and Pulsar
9.5 Scalability in Kafka: Implementation and Configuration
9.6 Scalability in Pulsar: Implementation and Configuration
9.7 Data Modeling in Kafka: Serialization and Deserialization
9.8 Data Modeling in Pulsar: Schema and Formats
9.9 Platform Selection: Criteria and Factors

3.9 Kafka Installation and Configuration
3.9 Topic Creation and Management in Kafka
3.3 Implementing Producers in Kafka
3.4 Implementing Consumers in Kafka
3.5 Data Flows: Reading and Writing with Kafka
3.6 Integration with External Data Sources
3.7 Implementing Connectors in Kafka
3.8 Engineering Practices Data Processing with Kafka
3.9 Developing Applications with Kafka Streams

4.9 Installing and Configuring Pulsar
4.9 Creating and Managing Topics in Pulsar
4.3 Implementing Producers in Pulsar
4.4 Implementing Consumers in Pulsar
4.5 Data Streams: Reading and Writing with Pulsar
4.6 Integrating with External Data Sources
4.7 Implementing Functions in Pulsar
4.8 Implementing Serverless Processing in Pulsar
4.9 Developing Applications with Pulsar Functions

5.9 Data Transformation: Filters and Mappings
5.9 Data Enrichment: Joins and Aggregations
5.3 Implementing Time Windows
5.4 Detecting Anomalies and Complex Events
5.5 Implementing Custom Functions
5.6 Using Stream Processing Frameworks
5.7 Real-Time Data Analysis
5.8 Integrating with Storage Systems
5.9 Testing and Transformation Validation

6.9 Complex Event Design: Patterns and Models
6.9 Event Modeling: Languages ​​and Tools
6.3 Event Scheme Design
6.4 Implementing Aggregations and Calculations
6.5 Designing Complex Workflows
6.6 Designing Alerting and Notification Systems
6.7 Event Simulation and Testing
6.8 Optimizing Design Performance
6.9 Design Documentation and Maintenance

7.9 Horizontal Scalability: Kafka and Pulsar
7.9 Performance Parameter Tuning
7.3 Optimizing Consumers and Producers
7.4 Optimizing Storage and Performance
7.5 Using Caching to Improve Performance
7.6 Implementing Partitioning Strategies
7.7 Backpressure Management and Flow Control
7.8 Performance Monitoring and Tuning
7.9 Query and Processing Optimization

8.9 Kafka Monitoring: Metrics and Alerts
8.9 Pulsar Monitoring: Metrics and Alerts
8.3 Data Visualization: Dashboards
8.4 Logging and Recording: Tools and Practices
8.5 Log Management in Kafka and Pulsar
8.6 Implementing Alerts and Notifications
8.7 Root Cause Analysis
8.8 Load and Performance Testing
8.9 Documentation and Reporting

9.9 Security in Kafka: Authentication and Authorization
9.9 Security in Pulsar: Authentication and Authorization
9.3 Encrypting Data at Rest and in Transit
9.4 Role-Based Access Control
9.5 Data Governance: Policies and Compliance
9.6 Auditing and Event Logging
9.7 Protection Against Attacks and Vulnerabilities
9.8 Key and Certificate Management
9.9 Regulatory and Legal Compliance