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BDMCA: a big data management system for Chinese auditing [PDF]
PeerJ Computer Science, 2023 The advent of big data technologies makes a profound impact on various facets of our lives, which also presents an opportunity for Chinese audits. However, the heterogeneity of multi-source audit data, the intricacy of converting Chinese into SQL, and ...
Xiaoping Zhou +4 more
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International Journal of Digital Earth, 2023 The surging accumulation of trajectory data has yielded invaluable insights into urban systems, but it has also presented challenges for data storage and management systems.
Zhou Huang, Ganmin Yin
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MHBase: A Distributed Real-Time Query Scheme for Meteorological Data Based on HBase
Future Internet, 2016 Meteorological technology has evolved rapidly in recent years to provide enormous, accurate and personalized advantages in the public service. Large volumes of observational data are generated gradually by technologies such as geographical remote sensing,
Yuanfeng Jin, T H Ma, Meili Tang
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The Time Machine in Columnar NoSQL Databases: The Case of Apache HBase
Future Internet, 2022 Not Only SQL (NoSQL) is a critical technology that is scalable and provides flexible schemas, thereby complementing existing relational database technologies.
Hung-Chang Hsiao +2 more
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Quadrant-Based Minimum Bounding Rectangle-Tree Indexing Method for Similarity Queries over Big Spatial Data in HBase [PDF]
Sensors, 2018 With the rapid development of mobile devices and sensors, effective searching methods for big spatial data have recently received a significant amount of attention.
Bumjoon Jo, Sungwon Jung
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Toward building RDB to HBase conversion rules [PDF]
Journal of Big Data, 2017 Cloud data stores that can handle very large amounts of data, such as Apache HBase, have accelerated the use of non-relational databases (coined as NoSQL databases) as a way of addressing RDB database limitations with regards to scalability and ...
R. Ouanouki +4 more
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A Method of HBase Multi-Conditional Query for Ubiquitous Sensing Applications
Sensors, 2018 Big data gathered from real systems, such as public infrastructure, healthcare, smart homes, industries, and so on, by sensor networks contain enormous value, and need to be mined deeply, which depends on a data storing and retrieving service.
Bo Shen +2 more
exaly +3 more sources
Information (Switzerland), 2018 Faced with the rapid growth of vector data and the urgent requirement of low-latency query, it has become an important and timely challenge to effectively achieve the scalable storage and efficient access of vector big data.
Hua Jiang, Zhenhong Du, Junfeng Kang
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G-HBase: A High Performance Geographical Database Based on HBase
IEICE Transactions on Information and Systems, 2018 LE, Hong Van, TAKASU, Atsuhiro
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LARGE VECTOR SPATIAL DATA STORAGE AND QUERY PROCESSING USING CLICKHOUSE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 The exponential growth of geospatial data resulting from the development of earth observation technology has created significant challenges for traditional relational databases.
S. Chen +7 more
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