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A non-relational approach for distributed medical imaging databases
2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), 2021Health institutions, particularly medical imaging laboratories, are producing an ever-increasing amount of data with each passing day. The easy access to new modalities, the propagation of diagnosis clinics, and the need of having the acquired data readily accessible imply the usage of very large storage archives and powerful processing systems to ...
Rui Lebre, Carlos Costa 0001
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Spatio-temporal indexing in non-relational distributed databases
2013 IEEE International Conference on Big Data, 2013Big Data has driven the need for datastores that can scale horizontally leading to the development of many different NoSQL database implementations, each with different persistence and query philosophies. Spatio-temporal data such as location data is one of the largest types of data being collected today.
Anthony D. Fox +3 more
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Non-Relational Databases in Big Data
Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies, 2016These days' Big data is becoming a very essential component for the industries where large volume of data at very high speed is used to solve particular data problems. Generally, big data is first analyzed and then used with other available data in the company to make it more effective. Therefore, big data is never operated in isolation.
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Introducing Non-Relational Databases
2013NoSQL databases have quickly become immensely popular, so much so that their popularity has earned them the distinction of been tagged as a movement! What are NoSQL databases and why have they become so popular? Let’s find out.
Sandeep Chanda, Damien Foggon
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A Review Of Leading Databases: Relational & Non-Relational Database
i-manager's Journal on Information Technology, 2016Relational databases have been around for so many years and are the choice of most technologies for their database needs, for most traditional data-intensive storage and retrieval capabilities for filtering, data transformation & management. Retrieval of data is normally achieved using SQL, query language.
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Relational versus non-relational database systems for data warehousing
Proceedings of the ACM 13th international workshop on Data warehousing and OLAP, 2010Relational database systems have been the dominating technology to manage and analyze large data warehouses. Moreover, the ER model, the standard in database design has a close relationship with the relational model. Recently, there has been a surge of alternative technologies for large scale analytic processing, most of which are not based on the ...
Carlos Ordonez 0001 +2 more
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Analysis and comparison of relational and non-relational databases
2013This paper presents a method that allows comparison of the quality of different DBMS systems and implemented in these systems data models. The proposed working model is a subset of quality characteristics of quality models defined in ISO / IEC 25010: 2011 (Systems and software engineering – Systems and software Quality Requirements and Evaluation ...
Tuzinkiewicz, Lech, Wiater, Paweł
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Mining spatiotemporal co-occurrence patterns in non-relational databases
GeoInformatica, 2016Spatiotemporal co-occurrence patterns (STCOPs) represent the subsets of feature types whose instances are frequently co-occurring both in space and time. Spatiotemporal co-occurrences reflect the spatiotemporal overlap relationships among two or more spatiotemporal instances both in spatial and temporal dimensions.
Berkay Aydin +2 more
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Efficient Uploading of.Csv Datasets into a Non-Relational Database Management System
2023Measurement-oriented non-relational databases often have a fixed structure schema to better manage and guarantee integrity of their data. However, this leads to a redundancy of field values into the database or does not allow storing most of the existing measurement files.
Fresta M. +6 more
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