The Data Analytics Platform or How to Make Data Science in a Box Possible – Krzysztof Adamski & Rob Keevil, ING
The Hadoop and FOSS revolution has reshaped the data analytics landscape. In the search for creating a cutting-edge data platform at ING, we are faced with challenging new requirements such as cloud-ready deployments and frictionless progressions of Machine Learning models into production, whilst ensuring proper data governance and security principals. Please join us in this session, where we will share ING WBAA’s experience on how to make a data platform based on open source components both enterprise and cloud ready, with an overview of current state and vision of our platform. We will cover the topics such as self-service automation to support machine learning use cases, the usage of distributed frameworks like spark on top of kubernetes and how to prepare the foundation (infrastructure components) within the enterprise environment.
Join us for KubeCon + CloudNativeCon in Shanghai June 24 – 26 and San Diego November 18 – 21! Learn more at kubecon.io. The conference features presentations from developers and end users of Kubernetes, Prometheus, Envoy and all of the other CNCF-hosted projects.
Join us for KubeCon + CloudNativeCon in San Diego November 18 – 21. Learn more at bit.ly/2WdUyQ6. The conference features presentations from developers and end users of Kubernetes, Prometheus, Envoy and all of the other CNCF-hosted projects.