Kai Wähner, Technology Evangelist at Confluent: "Development of Scalable Machine Learning Microservices with Apache Kafka Streams and H2O.ai"
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The document discusses the application of machine learning in real-time with Apache Kafka, highlighting how it can uncover insights and optimize business processes. It covers building and applying analytic models using H2O.ai and includes a live demonstration for predicting airline flight delays. Key considerations for using Kafka streams for processing are also outlined, including the need for readiness in processes and validation before production.
Kai Wähner, Technology Evangelist at Confluent: "Development of Scalable Machine Learning Microservices with Apache Kafka Streams and H2O.ai"
- 1. 1Confidential Apache Kafka + H2O.ai Machine Learning Applied to Real Time Stream Processing Kai Waehner Technology Evangelist kontakt@kai-waehner.de LinkedIn @KaiWaehner www.kai-waehner.de
- 2. 2Apache Kafka and Machine Learning Agenda 1) Machine Learning and Real Time Applications 2) Building an Analytic Model with H2O.ai 3) Applying an Analytic Model with Apache Kafka
- 3. 3Apache Kafka and Machine Learning Agenda 1) Machine Learning and Real Time Applications 2) Building an Analytic Model with H2O.ai 3) Applying an Analytic Model with Apache Kafka
- 4. 4Apache Kafka and Machine Learning Machine Learning ... allows computers to find hidden insights without being explicitly programmed where to look.
- 5. 5Apache Kafka and Machine Learning Real World Examples of Machine Learning Spam Detection Search Results + Product Recommendation Picture Detection (Friends, Locations, Products) Your Company The Next Disruption: Google Beats Go Champion
- 6. 6Apache Kafka and Machine Learning Leverage Machine Learning to Analyze and Act on Critical Business Moments Seconds Minutes Hours Price Optimization Predictive Maintenance Fraud Detection Cross Selling Transportation Rerouting Customer Service Inventory Management Windows of Opportunity
- 7. 7Apache Kafka and Machine Learning Big Data Analytics for Actionable Insights From Insight to Action (continuous loop)
- 8. 8Apache Kafka and Machine Learning Streaming Platform Big Data Analytics Database IoT Device Streaming Producer ….. DWH Data Integration C O N N E C T C O N N E C T Data Lake Model Building Batch Real Time Stream Processing REST Interface IoT Device Mobile App Streaming Consumer C O N N E C T C O N N E C T BI Tool Messaging Web Application Model Schema Registry / Governance 1) Data Producer 2) Analytics Platform 3) Streaming Platform 4) Data Consumer
- 9. 9Apache Kafka and Machine Learning Agenda 1) Machine Learning and Real Time Applications 2) Building an Analytic Model with H2O.ai 3) Applying an Analytic Model with Apache Kafka
- 10. 10Apache Kafka and Machine Learning STREAMING PLATFORM BIG DATA ANALYTICS Oracle DB CoaP IoT Kafka Java Client ….. HP Vertica Data Integration F L U M E H2O.ai, TensorFlow Batch Real Time Confluent REST Proxy MQTT IoT iPhone App Kafka Go Client C K O A N F N K E A C T H I V E Grafana Kafka Java EE Web App Hadoop C K O A N F N K E A C T Confluent Schema Registry Kafka Streams H2O.ai Mesos Kafka Streams TensorFlow Kubernetes Avro Avro 1) Data Producer 2) Analytics Platform 3) Streaming Platform 4) Data Consumer
- 11. 11Apache Kafka and Machine Learning Languages, Frameworks and Tools Many more …. Portable Format for Analytics (PFA)
- 12. 12Apache Kafka and Machine Learning Live Demo Use Case: Airline Flight Delay Prediction Machine Learning Algorithm: Gradient Boosted Machines (GBM) using Decision Trees Technology: H2O.ai
- 13. 13Apache Kafka and Machine Learning Agenda 1) Machine Learning and Real Time Applications 2) Building an Analytic Model with H2O.ai 3) Applying an Analytic Model with Apache Kafka
- 14. 14Apache Kafka and Machine Learning STREAMING PLATFORM BIG DATA ANALYTICS Oracle DB CoaP IoT Kafka Java Client ….. HP Vertica Data Integration F L U M E H2O.ai, TensorFlow Batch Real Time Confluent REST Proxy MQTT IoT iPhone App Kafka Go Client C K O A N F N K E A C T H I V E Grafana Kafka Java EE Web App Hadoop C K O A N F N K E A C T Confluent Schema Registry Kafka Streams H2O.ai Mesos Kafka Streams TensorFlow Kubernetes Avro Avro 1) Data Producer 2) Analytics Platform 3) Streaming Platform 4) Data Consumer
- 15. 15Apache Kafka and Machine Learning When to use Kafka Streams for Stream Processing? No need for a Big Data cluster Deploy in your existing infrastructure Kafka manages scalability / fail-over Focus on development of business logic in your department
- 16. 16Apache Kafka and Machine Learning Use Case: Airline Flight Delay Prediction Machine Learning Algorithm: Any! (in our example, H2O.ai GBM) Streaming Platform: Apache Kafka Core, Kafka’s Streams API Live Demo with Open Source Technologies
- 17. 17Apache Kafka and Machine Learning H2O.ai Model + Kafka Streams Filter Map 1) Create H2O ML model 2) Configure Kafka Streams Application 3) Apply H2O ML model to Streaming Data 4) Start Kafka Streams App
- 18. 18Apache Kafka and Machine Learning Online Model Training How to improve models? 1.Manual Update 2.Automated Batch 3.Real Time à Apache Kafka for Messaging and Real Time Apps
- 19. 19Apache Kafka and Machine Learning Caveats for Online Model Training • Processes and infrastructure not ready • Validation needed before production • Slows down the system • Only a few ML implementations supported • Many use cases do not need it
- 20. 20Apache Kafka and Machine Learning Kai Waehner Technology Evangelist kontakt@kai-waehner.de @KaiWaehner www.kai-waehner.de LinkedIn Questions? Feedback? Please contact me!