Data Science Facilities - School of Information Technology and Electrical Engineering - The University of Queensland, Australia UQ Home Contacts Study Maps News Events Library Give Now my.UQ The University of Queensland School of Information Technology and Electrical Engineering Search form Search Home About Occupational Health and Safety PhD & Masters Degrees Awarded Facilities ETSG News and Events Our people Future Students Current Students Academic Advice and Information Guidelines & Policies for Students Postgraduate Research Students Student Consultative Committee Tutoring Thesis (Coursework) Research Biomedical Engineering Power and Energy Systems Photonics and Microwave Data Science Co-Innovation Cyber Security Artificial Intelligence ITEE Seminars Industry Engage with Students Research & Development Collaboration Consultancy and Testing Services Shared Facilities Commercial Ventures Community Activities and Outreach Giving Contact Our People You are here Home » Research » Data Science Data Science Facilities Through a dedicated laboratory space, Data Science researchers have access to a one terabyte SAP HANA in-memory database. The SAP HANA technology provides researchers with invaluable computing power to analyse large experimental datasets. This lab infrastructure supports indexing and query processing, data quality management, information extraction, linkage and integration, data mining and pattern recognition, as well as clustering, ranking and recommendation. The group has access to a diversity of real world datasets including spatiotemporal, multimedia, business, heath, social, text and graphic data. Computing Infrastructure: 8 high-end servers + 4 GPUs In-memory computing including SAP HANA (1TB Memory) + a HANA-free mirror FlashLite: 70 compute nodes (`2400 cores): Dual socket Intel E5-2680v3 2.5GHz (Haswell), 512 GB DDR-2, 4.8 TB NVMe SSD 16-node Cluster/Hadoop/Spark platforms © The University of Queensland Enquiries: +61 7 3365 1111 UQ Contacts ABN: 63 942 912 684 CRICOS Provider No: 00025B Emergency Phone: 3365 3333 Privacy & Terms of use Feedback Updated: 20 May 2020 Login
