Database Design & Implementation
CAC provides expert consulting services to support scientific research through the design, implementation, and integration of high-performance, secure, and scalable databases.
Services Available
We work with researchers to support every phase of the database lifecycle, including:
- Database design
- Database creation and data import
- Writing database queries and functions
- Database optimization for performance and scale
- Hardware recommendations (CPU, memory, network, storage)
- Database security
- Integrating databases with web applications, data management, and processing pipelines for optimal workflows
- Relational database consulting and education
The act of processing the data, getting from the collecting stage to the interpretation stage can be time consuming and tedious. Shortening the process with CAC lets me use my time more efficiently.
Statistics & Data Science Professor
Sample Projects
- NANOGrav Data Management
Designed relational databases to support a decade-long pulsar observation project aimed at discovering gravitational waves.
- Satellite Monitoring for Cultural Heritage
Set up GeoServer image and storage on Red Cloud and developed a workflow to move GeoServer data into ArcGIS desktop applications.
- Dairy Profit Monitor
Created a business analytics database with a web-based tool for dairy farmers to input operational data, improve efficiencies, and optimize profitability.
Integrated Research Support
Our database consultants can work as part of your research team—providing short-term assistance or ongoing support to:
- Develop and maintain custom web-database interfaces
- Design, optimize, and upgrade scientific workflows
- Contribute to proposal writing, including data management plans
Getting Started
Contact us to discuss your data challenges.
Data collection, analysis, and curation are essential to research. We help researchers manage scientific data by designing advanced, semantically rich databases, automating data workflows, integrating data management into research pipelines, supporting proposals with data management plans, and distributing data to collaborators, the scientific community, and the public.
Adam Brazier, CAC Computational Scientist