Applied research in data management, integration, and analysis.
The Distributed Database Laboratory performs applied research into data management challenges for relational, NoSQL, cloud, and big data systems. Researchers and developers are engaged in projects on sensor and embedded databases for use in agricultural, environmental, and industrial applications and large-scale data and AI projects for converting organizational data into actionable insights.
The team works with organizations to tackle data challenges big or small in any industry. Expertise includes software engineering, system development, and consulting. The lab has worked with Fortune 500 companies including GE, and its research group specializes in database integration, implementation design and software development.
- Database and software design and consulting
- Database validation and optimization
- Leveraging data sets and databases for use with artificial intelligence
- Data testing and performance
- Large-scale data systems and data analytics
- Environmental technologies and related services
- Financial services and insurance
- Healthcare and social services
- Information and communication technologies and media
- Management and business related services
Specialized labs and equipment
| Equipment | Function |
|---|---|
| GPU Analytics Server | Large-scale analysis of data sets with support for graphic processing unit (GPU) techniques. |
| EmbedDB | Embedded sensor database for agricultural, environmental, and industrial applications. |
| UnityJDBC | Data integration software and support. |
Additional information
| Title | URL |
|---|---|
| EmbedDB: Embedded database for IoT and sensors supporting key-value and relational data. | https://github.com/ubco-db/EmbedDB/ |
| UnityJDBC: A solution for data virtualization and database integration, SQL function and dialect translation, and allows any query and reporting software to query multiple databases in one SQL query. | https://unityjdbc.com/ |