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Non-Relational Databases in Big Data

Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies, 2016
These 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.
S. Tamane
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Survey of Performance Comparison Based on Non Relational Database

2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), 2021
Non relational database is a very popular and popular database technology. It has the characteristics of large amount of data, high concurrency, strong reading and writing ability, flexible use, simple data structure and good scalability.
Jingbo Li, Rongli Gai
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Introducing Non-Relational Databases

2013
NoSQL 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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Performance optimization of applications based on non-relational databases

2016 International Conference on Emerging eLearning Technologies and Applications (ICETA), 2016
This paper is focused on performance optimization of applications based on non-relational databases. Firstly there will be explained differences between relational and non-relational databases and also compared the types of non-relational databases. Then the advantages and disadvantages between MongoDB and ElasticSearch (SQL) database systems will be ...
Liberios Vokorokos   +2 more
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Mining spatiotemporal co-occurrence patterns in non-relational databases

GeoInformatica, 2016
Spatiotemporal 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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Spatio-temporal indexing in non-relational distributed databases

2013 IEEE International Conference on Big Data, 2013
Big 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 Fox   +3 more
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