Lesson 1: Overview of Streaming Data Analytics
Definition and Importance
Evolution of Data Analytics
Real-time vs. Batch Processing
Use Cases and Applications
Key Benefits
Challenges in Streaming Data
Introduction to Oracle’s Solution
Architecture Overview
Setting Up the Environment
Initial Configuration
Lesson 2: Oracle Streaming Service Basics
Introduction to Oracle Streaming Service (OSS)
Core Components
Data Ingestion Mechanisms
Stream Processing Fundamentals
Data Flow Management
Basic Configuration
Security Overview
Monitoring and Logging
Basic Troubleshooting
Best Practices
Lesson 3: Data Sources and Integration
Types of Data Sources
Connecting to External Data Sources
Data Ingestion Techniques
Handling Different Data Formats
Data Transformation Basics
Integration with Oracle Databases
Integration with Third-party Systems
Data Validation and Cleansing
Error Handling
Performance Optimization
Lesson 4: Advanced Data Processing
Complex Event Processing (CEP)
Windowing Techniques
Aggregation and Joins
State Management
Handling Late Data
Custom Functions and Operators
Performance Tuning
Scaling Strategies
Fault Tolerance
Case Studies
Module 2: Advanced Analytics and Machine Learning
Lesson 5: Introduction to Machine Learning in Streaming
Overview of Machine Learning
Machine Learning in Streaming Context
Types of Machine Learning Models
Data Preparation for ML
Feature Engineering
Model Training and Evaluation
Real-time Predictions
Model Deployment
Monitoring Model Performance
Case Studies
Lesson 6: Advanced Machine Learning Techniques
Deep Learning Basics
Neural Networks in Streaming
Anomaly Detection
Predictive Analytics
Time Series Analysis
Model Optimization
Handling Concept Drift
Ensemble Methods
Advanced Feature Engineering
Case Studies
Lesson 7: Real-time Analytics and Visualization
Introduction to Real-time Analytics
Real-time Dashboards
Data Visualization Techniques
Interactive Visualizations
Custom Reports
Alerts and Notifications
Integration with BI Tools
Performance Optimization
Security Considerations
Case Studies
Lesson 8: Advanced Visualization Techniques
Advanced Charting Techniques
Geospatial Visualizations
Heatmaps and Clustering
Custom Visual Components
Interactive Dashboards
Real-time Data Exploration
Storytelling with Data
Integration with External Tools
Performance Optimization
Case Studies
Module 3: Security and Compliance
Lesson 9: Security Fundamentals
Introduction to Data Security
Authentication and Authorization
Data Encryption
Secure Data Transmission
Role-based Access Control
Audit Logging
Compliance Overview
Security Best Practices
Handling Security Incidents
Case Studies
Lesson 10: Advanced Security Techniques
Advanced Encryption Techniques
Secure Data Storage
Network Security
Handling Sensitive Data
Security Monitoring
Incident Response
Compliance with Regulations
Security Audits
Security in Multi-tenant Environments
Case Studies
Module 4: Performance Optimization and Scaling
Lesson 11: Performance Tuning Basics
Introduction to Performance Tuning
Identifying Performance Bottlenecks
Query Optimization
Indexing Strategies
Caching Techniques
Resource Management
Monitoring Performance
Basic Troubleshooting
Best Practices
Case Studies
Lesson 12: Advanced Performance Optimization
Advanced Query Optimization
Partitioning Strategies
Parallel Processing
Handling Large Datasets
Memory Management
Disk I/O Optimization
Network Optimization
Advanced Troubleshooting
Performance Benchmarking
Case Studies
Lesson 13: Scaling Strategies
Introduction to Scaling
Vertical Scaling
Horizontal Scaling
Load Balancing
Handling High Availability
Disaster Recovery
Scaling in Cloud Environments
Performance Considerations
Best Practices
Case Studies
Lesson 14: Advanced Scaling Techniques
Auto-scaling Strategies
Handling Data Skew
Distributed Processing
Handling Data Locality
Scaling in Multi-tenant Environments
Performance Monitoring
Advanced Troubleshooting
Best Practices
Case Studies
Future Trends
Module 5: Advanced Topics and Future Trends
Lesson 15: Advanced Data Integration
Introduction to Advanced Data Integration
Handling Complex Data Sources
Data Transformation Techniques
Integration with Big Data Systems
Handling Data Latency
Data Quality Management
Advanced Error Handling
Performance Optimization
Best Practices
Case Studies
Lesson 16: Advanced Event Processing
Introduction to Advanced Event Processing
Complex Event Patterns
Handling Event Correlations
Advanced Windowing Techniques
State Management in Event Processing
Handling Event Ordering
Performance Optimization
Best Practices
Case Studies
Future Trends
Lesson 17: Advanced Machine Learning in Streaming
Introduction to Advanced Machine Learning
Handling Large-scale Data
Advanced Feature Engineering
Model Optimization Techniques
Handling Concept Drift
Ensemble Methods in Streaming
Advanced Anomaly Detection
Performance Optimization
Best Practices
Case Studies
Lesson 18: Advanced Visualization and Reporting
Introduction to Advanced Visualization
Custom Visual Components
Interactive Dashboards
Real-time Data Exploration
Advanced Charting Techniques
Geospatial Visualizations
Integration with External Tools
Performance Optimization
Best Practices
Case Studies
Lesson 19: Advanced Security and Compliance
Introduction to Advanced Security
Handling Sensitive Data
Advanced Encryption Techniques
Secure Data Storage
Network Security
Security Monitoring
Incident Response
Compliance with Regulations
Best Practices
Case Studies
Lesson 20: Advanced Performance Optimization
Introduction to Advanced Performance Optimization
Advanced Query Optimization
Partitioning Strategies
Parallel Processing
Handling Large Datasets
Memory Management
Disk I/O Optimization
Network Optimization
Best Practices
Case Studies
Module 6: Practical Applications and Case Studies
Lesson 21: Real-world Applications of Streaming Data Analytics
Introduction to Real-world Applications
Use Cases in Finance
Use Cases in Healthcare
Use Cases in Retail
Use Cases in Manufacturing
Use Cases in Telecommunications
Use Cases in Logistics
Use Cases in Energy
Use Cases in Government
Case Studies
Lesson 22: Case Studies in Finance
Introduction to Case Studies in Finance
Fraud Detection
Risk Management
Real-time Trading
Customer Analytics
Compliance Monitoring
Performance Optimization
Best Practices
Case Studies
Future Trends
Lesson 23: Case Studies in Healthcare
Introduction to Case Studies in Healthcare
Patient Monitoring
Predictive Analytics
Real-time Diagnostics
Operational Efficiency
Compliance Monitoring
Performance Optimization
Best Practices
Case Studies
Future Trends
Lesson 24: Case Studies in Retail
Introduction to Case Studies in Retail
Customer Behavior Analysis
Inventory Management
Real-time Personalization
Supply Chain Optimization
Fraud Detection
Performance Optimization
Best Practices
Case Studies
Future Trends
Lesson 25: Case Studies in Manufacturing
Introduction to Case Studies in Manufacturing
Predictive Maintenance
Quality Control
Supply Chain Optimization
Operational Efficiency
Real-time Monitoring
Performance Optimization
Best Practices
Case Studies
Future Trends
Lesson 26: Case Studies in Telecommunications
Introduction to Case Studies in Telecommunications
Network Monitoring
Customer Analytics
Fraud Detection
Real-time Billing
Operational Efficiency
Performance Optimization
Best Practices
Case Studies
Future Trends
Lesson 27: Case Studies in Logistics
Introduction to Case Studies in Logistics
Fleet Management
Route Optimization
Real-time Tracking
Inventory Management
Operational Efficiency
Performance Optimization
Best Practices
Case Studies
Future Trends
Lesson 28: Case Studies in Energy
Introduction to Case Studies in Energy
Real-time Monitoring
Predictive Maintenance
Energy Consumption Analysis
Operational Efficiency
Compliance Monitoring
Performance Optimization
Best Practices
Case Studies
Future Trends
Lesson 29: Case Studies in Government
Introduction to Case Studies in Government
Public Safety Monitoring
Real-time Analytics
Operational Efficiency
Compliance Monitoring
Performance Optimization
Best Practices
Case Studies
Future Trends
Conclusion
Lesson 30: Future Trends in Streaming Data Analytics
Introduction to Future Trends
Emerging Technologies
Advanced Machine Learning
Real-time Analytics
Advanced Visualization
Security and Compliance
Performance Optimization
Best Practices
Case Studies
Conclusion
Module 7: Advanced Topics and Future Trends (Continued)
Lesson 31: Advanced Data Integration Techniques
Introduction to Advanced Data Integration
Handling Complex Data Sources
Data Transformation Techniques
Integration with Big Data Systems
Handling Data Latency
Data Quality Management
Advanced Error Handling
Performance Optimization
Best Practices
Case Studies
Lesson 32: Advanced Event Processing Techniques
Introduction to Advanced Event Processing
Complex Event Patterns
Handling Event Correlations
Advanced Windowing Techniques
State Management in Event Processing
Handling Event Ordering
Performance Optimization
Best Practices
Case Studies
Future Trends
Lesson 33: Advanced Machine Learning Techniques in Streaming
Introduction to Advanced Machine Learning
Handling Large-scale Data
Advanced Feature Engineering
Model Optimization Techniques
Handling Concept Drift
Ensemble Methods in Streaming
Advanced Anomaly Detection
Performance Optimization
Best Practices
Case Studies
Lesson 34: Advanced Visualization and Reporting Techniques
Introduction to Advanced Visualization
Custom Visual Components
Interactive Dashboards
Real-time Data Exploration
Advanced Charting Techniques
Geospatial Visualizations
Integration with External Tools
Performance Optimization
Best Practices
Case Studies
Lesson 35: Advanced Security and Compliance Techniques
Introduction to Advanced Security
Handling Sensitive Data
Advanced Encryption Techniques
Secure Data Storage
Network Security
Security Monitoring
Incident Response
Compliance with Regulations
Best Practices
Case Studies
Lesson 36: Advanced Performance Optimization Techniques
Introduction to Advanced Performance Optimization
Advanced Query Optimization
Partitioning Strategies
Parallel Processing
Handling Large Datasets
Memory Management
Disk I/O Optimization
Network Optimization
Best Practices
Case Studies
Lesson 37: Advanced Scaling Techniques
Introduction to Advanced Scaling
Auto-scaling Strategies
Handling Data Skew
Distributed Processing
Handling Data Locality
Scaling in Multi-tenant Environments
Performance Monitoring
Advanced Troubleshooting
Best Practices
Case Studies
Lesson 38: Advanced Troubleshooting Techniques
Introduction to Advanced Troubleshooting
Identifying Performance Bottlenecks
Advanced Query Optimization
Handling Data Latency
Memory Management
Disk I/O Optimization
Network Optimization
Best Practices
Case Studies
Future Trends
Lesson 39: Best Practices in Streaming Data Analytics
Introduction to Best Practices
Data Integration Best Practices
Event Processing Best Practices
Machine Learning Best Practices
Visualization Best Practices
Security Best Practices
Performance Optimization Best Practices
Scaling Best Practices
Troubleshooting Best Practices
Conclusion
Lesson 40: Conclusion and Future Trends
Course Recap
Key Takeaways
Emerging Technologies
Advanced Machine Learning
Real-time Analytics
Advanced Visualization
Security and Compliance
Performance Optimization
Best Practices
Future Trends
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