Unleashing Apache Kafka and TensorFlow in hybrid architectures
How do you leverage the flexibility and extreme scale of the public cloud and the Apache Kafka ecosystem to build scalable, mission-critical machine learning infrastructures that span multiple public cloudsor bridge your on-premises data center to the cloud? Join Kai Whner to learn how to use technologies such as TensorFlow with Kafkas open source ecosystem for machine learning infrastructures.
| Talk Title | Unleashing Apache Kafka and TensorFlow in hybrid architectures |
| Speakers | Kai Wähner (Confluent) |
| Conference | Strata Data Conference |
| Conf Tag | Making Data Work |
| Location | London, United Kingdom |
| Date | April 30-May 2, 2019 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
How do you leverage the flexibility and extreme scale of the public cloud and the Apache Kafka ecosystem to build scalable, mission-critical machine learning infrastructures that span multiple public clouds—or bridge your on-premises data center to the cloud? Join Kai Wähner to learn how to use technologies such as TensorFlow with Kafka’s open source ecosystem for machine learning infrastructures. You’ll learn how to build a scalable, mission-critical machine learning infrastructure for data ingestion and processing, model training, deployment, and monitoring. The discussed architecture includes capabilities like scalable data preprocessing for training and predictions, a combination of different deep learning frameworks, data replication between data centers, intelligent real-time microservices running on Kubernetes, and local deployment of analytic models for offline predictions.
