Abstract: Data preparation and ingestion are the most cumbersome and time-consuming tasks for data engineers and data scientists. In this short talk, we'll explain and demo how you can apply cloud-native architectures to create your data pipelines, leveraging Ceph object storage, notifications, Kafka, and Kubernetes KNative. Come see how you can automate and scale (almost) everything and free time to do real data science!
Bio: Guillaume Moutier is a Senior Principal Technical Evangelist at Red Hat, focusing his work on AI/ML workloads and data science platforms. Former CTO of Laval University in Canada, he is constantly looking for and promoting new and innovative solutions, but always with a focus on usability and business alignment brought by 20 years of IT management.