Rel: The 'true' relational model for desktop data processing.
Conference Presentation
Authors | Voorhis, Dave |
---|---|
Type | Conference Presentation |
Abstract | Discovered by noted IBM researcher E. F. “Ted” Codd in 1970, Codd's Relational Model of Data became the inspiration for the SQL database query language. Whilst SQL is the basis for most popular database management systems, they do not faithfully implement the relational model and deviate from it in problematic ways. Rel is a database management system — developed by Dave Voorhis at the University of Derby — that faithfully implements the relational model and is the first and most complete implementation of the innovative Tutorial D database query language designed by database researcher and author C J Date and former IBM developer and SQL Standards Committee member Hugh Darwen. In continuous development since 2004, Rel is used for research and database education at various universities worldwide. With the recent addition of features for integrating external data sources, Rel is evolving into an increasingly viable and effective “desktop database" tool for manipulating and querying data on personal computers. This session provides a background to Rel and demonstrates some of its significant new features. |
Keywords | Big Data analytics; Database management systems |
Year | 2017 |
Publisher | University of Derby |
Web address (URL) | http://hdl.handle.net/10545/622368 |
hdl:10545/622368 | |
File | File Access Level Open |
Publication dates | Jan 2017 |
Publication process dates | |
Deposited | 19 Mar 2018, 09:22 |
Contributors | University of Derby |
https://repository.derby.ac.uk/item/93vzw/rel-the-true-relational-model-for-desktop-data-processing
Download files
54
total views0
total downloads4
views this month0
downloads this month
Export as
Related outputs

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.2017.2757910
Rel
Voorhis, Dave 2016. Rel.
From 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.2014.67
Designing 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.