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  • UBDA Infrastructure
    UBDA Infrastructure
  • UBDA Seminar - Cyber-Physical-Human Big Data Computing
    UBDA Seminar - Cyber-Physical-Human Big Data Computing
  • UBDA Opening Ceremony
    UBDA Opening Ceremony
  • Information Session on UBDA Platform
    Information Session on UBDA Platform
  • Live Demo - Account and User Management
    Live Demo - Account and User Management
Events

Joint Seminar - Big Data Application in …

  Topic  Big Data Application in Economics and Finance (Poster) Speaker Ms. Cynthia Wong and Mr. Ken Wong, Hong Kong Monetary Authority Date 23 April 2021 (Friday) Time 2:30 p.m. - 3:30 p.m. Venue Online...

23-04-2021

UBDA Training Course - Introduction to H…

The training is an introductory course aimed to help research users to effectively use the UBDA HPC resources. It covers various topics from basic PBS...

13-01-2021

Joint Seminar - Use of Big Data in Weath…

  Topic  Use of Big Data in Weather Services at the Hong Kong Observatory (Poster) Speaker Dr. Ho Chun-kit, Hong Kong Observatory Date 11 December 2020 (Friday) Time 2:30 p.m. - 3:30 p.m. Venue Online...

11-12-2020

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Introduction

University Research Facility in Big Data Analytics (UBDA) is the first university-level research facility in Big Data Analytics in Hong Kong for cross-disciplinary research collaborations, teaching, and learning, as well as a partnership with industry.

 

UBDA provides a dedicated, secure, and scalable 24/7 big data platform for building the analytic solutions. 

 

UBDA offers several benefits, including:

  • GPUs and CPUs accelerated computing platform
  • Consultancy platform to formulate the big data related research problems
  • Opportunity to have joint labs, projects, and sponsorships

UBDA is a big data platform to store and analyze your data for finding the hidden patterns, exploring unknown correlation, improving prediction, supporting decision making, recommending services, and products and other analytic solutions. 

 UBDA platform 1

 

The main objective of UBDA establishment is to meet the increasing demand for computing resources and expertise in big data analytics.