Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

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

Reviews

Start your review of Stream Processing Patterns in Apache Flink

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.