Rel
Software
Voorhis, Dave 2016. Rel.
| Authors | Voorhis, Dave |
|---|---|
| Abstract | Rel is a free, open-source, cross-platform, true relational database management system that implements C J Date and Hugh Darwen's Tutorial D database language. First released in 2004, this version 3.000 release provides a significantly revamped graphical user interface, a graphical query language, and a native look-and-feel on Windows, Linux and OS X. Rel is primarily intended for research and education, but is increasingly an effective alternative to commercial desktop database management systems. |
| Keywords | Relational model; Database; Database management systems; Computer software |
| Year | 2016 |
| Web address (URL) | http://hdl.handle.net/10545/620826 |
| http://creativecommons.org/licenses/by/4.0/ | |
| hdl:10545/620826 | |
| File | File Access Level Open |
| File | File Access Level Open |
| Publication dates | 31 Aug 2016 |
| Publication process dates | |
| Deposited | 14 Nov 2016, 12:12 |
| Contributors | University of Derby |
Permalink -
https://repository.derby.ac.uk/item/94831/rel
Download files
37
total views0
total downloads0
views this month0
downloads this month
Export as
Related outputs
Rel: The 'true' relational model for desktop data processing.
Voorhis, Dave 2017. Rel: The 'true' relational model for desktop data processing. University of Derby.Tools and technologies for the implementation of Big Data.
Self, Richard and Voorhis, Dave 2015. Tools and technologies for the implementation of Big Data. in: Elsevier.Ensemble of ESA/AATSR aerosol optical depth products based on the likelihood estimate method with uncertainties
Xie, Yanqing, Xue, Yong, Che, Yahui, Guang, Jie, Mei, Linlu, Voorhis, Dave, Fan, Cheng, She, Lu and Xu, Hui 2017. Ensemble of ESA/AATSR aerosol optical depth products based on the likelihood estimate method with uncertainties. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2017.2757910From DOOM to duty: The evolution of design patterns in first person shooters
Voorhis, Dave and Thompson, Tommy 2016. From DOOM to duty: The evolution of design patterns in first person shooters. Digital Games Research Association.Tools and technologies for the implementation of Big Data
Self, Richard and Voorhis, Dave 2015. Tools and technologies for the implementation of Big Data. in: Butterworth-Heinemann.Rel
Voorhis, Dave 2004. Rel.Planning in the Cloud: Massively Parallel Planning
Voorhis, Dave and Thompson, Tommy 2014. Planning in the Cloud: Massively Parallel Planning. IEEE Computer Society. https://doi.org/10.1109/UCC.2014.67Designing Big Data Analytics Undergraduate and Postgraduate Programmes for Employability
Self, Richard and Voorhis, Dave 2014. Designing Big Data Analytics Undergraduate and Postgraduate Programmes for Employability.Novel Approaches to Learning and Teaching SAS-based Analytics
Self, Richard and Voorhis, Dave 2013. Novel Approaches to Learning and Teaching SAS-based Analytics. BDA EdCon.