Data Science and Analytics Platform
The Data Science and Analytics Platform occupies a distinct position within the ASPIRE Precision Medicine Research Institute *Abu Dhabi. While other platforms and research themes generate data, this platform focuses on data analysis, producing metadata and preliminary conclusions. It serves as a bridge connecting all other platforms and research projects. The data across platforms and research themes are diverse, coming from various sources, types, and governed by different institutions. To integrate this data, we aim to develop a novel governance structure, ensuring collaboration amongst all data providers.
AIMS
Our Objectives
Our commitment at the Data Science and Analytics Platform centers around enhancing data governance and broadening our research capabilities in the realm of precision medicine. Here are the core tenets of our approach:
Machine Learning & Data Analytics Architecture
Dive into our advanced architecture designed to harness the power of data analytics and machine learning. From the ingestion of raw data to the delivery of actionable business intelligence, our platform covers all aspects of modern data processing and analysis.
Blueprint of our Advanced Data Analytics & Machine Learning Architecture: From data ingestion to actionable insights, explore the comprehensive layers that drive intelligent decision-making.
Available resources
Discover the cutting-edge technology and equipment that powers APMAD's research and innovation. Our resources section provides detailed insights into our advanced hardware and systems.
DGX-1 Supercomputer
- NVIDIA DGX: 8x NVIDIA® Tesla® V100 GPUs with 32GB memory each.
- Available to use within the UAEU network as per request. Learn more here.
Cloud Computing
Research Infrastructure for Computing (RIC) Data Platform
- Infrastructure Type: On-premise Cloud Computing.
- Technologies Used: VMware virtualization software and Apache open-source Hadoop ecosystems (hdfs/Hive/Yarn/Spark).
Hardware Summary
- Dell R740XD
- Configuration: Intel Xeon Gold (Variants: 6226R 2.9G, 16C/32T & 6226 2.7G, 12C/24T), Memory up to 256GB, Storage up to 48TB.
- Total Units: 8
- Dell R440
- Configuration: Intel Xeon Silver 4214R 2.4G, 12C/24T, 128GB Memory, 6TB Storage.
- Total Units: 1
- Dell R740XD GPU
- Configuration: Intel Xeon Gold 6238R 2.2G, 28C/56T with NVIDIA Tesla V100 16G Passive GPU, 256GB Memory, 6TB Storage.
- Total Units: 1
Team
Platform Directors
Prof. Nazar Zaki
Platform Director, Big Data Analytics
Theme Members
Prof. Mohd Saberi Mohamad
Genetics Theme - Professor in Genetics and Genomics
Dr. Rafat Damseh
Scientific Board Member
Mr. Jaloliddin Rustamov
PhD Student
Mr. Zahiriddin Rustamov
PhD Student