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LinkedIn Learning

Stream Processing Patterns in Apache Flink

via LinkedIn Learning

Overview

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

Syllabus

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

Taught by

Kumaran Ponnambalam

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