Stream Processing Patterns in Apache Flink

Discover how to use Apache Flink and associated technologies to build stream-processing use cases leveraging popular patterns.

Introduction

• Stream processing with Flink
• What you should know

1. Stream Processing with Flink

• What is stream processing?
• Streaming: Opportunities and challenges
• Streaming with Flink
• Setting up the exercise files
• Setting up Kafka
• Setting up MariaDB and Redis

2. Streaming Analytics

• Streaming analytics: Pattern
• Streaming analytics: Use case design
• Streaming analytics: Helper classes
• Streaming analytics: Pipeline implementation
• Streaming analytics: Results review

3. Alerts and Thresholds

• Alerts and thresholds: Pattern
• Alerts and thresholds: Use case design
• Alerts and thresholds: Helper classes
• Alerts and thresholds: Pipeline implementation
• Alerts and thresholds: Review

4. Leaderboards

• Leaderboards: Pattern
• Leaderboards: Use case design
• Leaderboards: Helper classes
• Leaderboards: Pipeline implementation
• Leaderboards: Review

5. Real-Time Predictions

• Real-time predictions: Pattern
• Real-time predictions: Use case design
• Real-time predictions: Helper classes
• Real-time predictions: Pipeline implementation
• Real-time predictions: Review

6. Use Case Project

• Use case definition
• Design of the project
• Code walkthrough
• Execute and analyze

Conclusion

• Next steps