Big Data Group

VGG Image Search Engine (VISE) is a free and open source software for visual search of large collection of images using image region as a search query. VISE is developed and maintained by Visual Geometry Group (VGG) in Department of Engineering Science of the Oxford University. VISE is released under a license that allows unrestricted use in academic research projects and commercial industrial applications. We want to nurture a vibrant open source community around the VISE software. Therefore, we encourage you to contribute and participate in the development of VISE. Our users can participate in the development of VISE software by reporting issues, contributing documentation, adding new features or improving existing features by sending a merge request. VISE will be developed, maintained and supported by the Visual Geometry Group at least until November 2025. Users can post their queries or report issues with the VISE software in our gitlab issues portal.

Load your data into or out of Hadoop and data lakes. Prep it so it's ready for reports, visualizations or advanced analytics – all inside the data lakes. And do it all yourself, quickly and easily. Makes it easy to access, transform and manage data stored in Hadoop or data lakes with a web-based interface that reduces training requirements. Built from the ground up to manage big data on Hadoop or in data lakes; not repurposed from existing IT-focused tools. Lets you group multiple directives to run simultaneously or one after the other. Schedule and automate directives using the exposed Public API. Enables you to share and secure directives. Call them from SAS Data Integration Studio, uniting technical and nontechnical user activities. Includes built-in directives – casing, gender and pattern analysis, field extraction, match-merge and cluster-survive. Profiling runs in-parallel on the Hadoop cluster for better performance.