Hi We are excited to announce the availability of the 1.0 release of the Open Data Hub project [1]. ODH 1.0 provides the following additions and improvements: - Hue 4.8 added - SQL Cloud Assistant for developing and accessing Databases & Data Warehouses - Spark Thrift Server added - Allows multiple remote clients to access Spark - KF Serving added - Used for serving machine learning models - Kubeflow Pipeline on Tekton added - Pipelines for building and deploying containerized machine learning workflows using Tekton - Improved JupyterHub spawner UI and Volume Sharing Please see the ODH 1.0 Blog [2] for more information about the release. Given the adoption of the ODH manifest based deployment, we have removed the legacy deployment options for ODH. ODH beta will be the landing zone for all new features and bug fixes going forward. ODH 1.0 also makes available several example installation templates for deploying Kubeflow into OpenShift 4.3 or later. These should help users who wish to customize their deployments moving forward. ODH will now be able to deploy the latest Kubeflow release immediately without the previous lag required for integration into ODH. Looking ahead, the following components and capabilities are planned for Open Data Hub 1.1 slated for release end of May 2021: - JupyterHub authentication and single user profile support for OCP groups - ODH disconnected deployment - Kubeflow v1.3 - Dataset Lifecycle framework - Component version updates for Spark and Elyra Thanks [1] http://opendatahub.io/ [2] https://opendatahub.io/news/2021-02-02/odh-release-1.0.0-blog.html