TY - GEN
T1 - GenDatr
T2 - 9th Future Technologies Conference, FTC 2024
AU - Loo, Zong Poh
AU - Tan, Ang Kang
AU - Choo, Clement Jun Kai
AU - Tay, Shaun Jia Le
AU - Lim, Xue Er
AU - Loh, Jeremiah Xian Ming
AU - Ge-Hall, Andrew
AU - Yau, Peter Chun Yu
AU - Wong, Dennis
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - The PERN stack is a robust technology stack for modern web application development. It comprises PostgreSQL, Express.js, React, and Node.js. This project introduces the GenDatr web application, showcasing Integrant Labs’ innovative pursuits. As a Single Page Application (SPA), it seamlessly integrates new data insights and predictive models, enhancing user experience. PostgreSQL ensures robust data management, Express.js facilitates efficient backend server and API development, React enables dynamic and user-friendly interfaces, Node.js supports scalable server-side execution. By employing Agile Methodology, we ensured iterative progress and adaptability throughout the project’s phases. Together, these components ensure the GenDatr application is robust, efficient, and scalable, reflecting GenDatr’s commitment to advancing research and development through an immersive, interactive platform.
AB - The PERN stack is a robust technology stack for modern web application development. It comprises PostgreSQL, Express.js, React, and Node.js. This project introduces the GenDatr web application, showcasing Integrant Labs’ innovative pursuits. As a Single Page Application (SPA), it seamlessly integrates new data insights and predictive models, enhancing user experience. PostgreSQL ensures robust data management, Express.js facilitates efficient backend server and API development, React enables dynamic and user-friendly interfaces, Node.js supports scalable server-side execution. By employing Agile Methodology, we ensured iterative progress and adaptability throughout the project’s phases. Together, these components ensure the GenDatr application is robust, efficient, and scalable, reflecting GenDatr’s commitment to advancing research and development through an immersive, interactive platform.
KW - Express
KW - Node
KW - PERN
KW - PostgreSQL
KW - Predictive models
KW - React
KW - Single page application
KW - Visualization
UR - https://www.scopus.com/pages/publications/85209571848
U2 - 10.1007/978-3-031-73125-9_23
DO - 10.1007/978-3-031-73125-9_23
M3 - Conference contribution
AN - SCOPUS:85209571848
SN - 9783031731242
T3 - Lecture Notes in Networks and Systems
SP - 373
EP - 378
BT - Proceedings of the Future Technologies Conference (FTC) 2024
A2 - Arai, Kohei
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 14 November 2024 through 15 November 2024
ER -