Optimal Approaches for Real-Time Machine Learning with Apache Spark on Kubernetes

Optimal Approaches for Real-Time Machine Learning with Apache Spark on Kubernetes

Explore optimal approaches for real-time machine learning with Apache Spark on Kubernetes in this 26-minute conference talk. Delve into the challenges of combining Spark and Kubernetes for low-latency, high-scalability ML deployments. Learn best practices and strategies for efficient model training, deployment, and serving in real-time environments. Gain insights from Hichem Kenniche, an OSS Product Architect at Instaclustr with over 15 years of experience in big data processing, as he shares valuable knowledge on integrating ML models into modern applications using Apache Spark and Kubernetes.