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Geospatial data storage based on HBase and MapReduce
2017 6th International Conference on Agro-Geoinformatics, 2017Traditional relational database management systems (RDBMS) have shown limitations in storing and analyzing big data. For example, a RDBMS is suitable for transactional operations yet not good at large-scale data analysis and processing, since a large-scale record scan or full table scan is often time-consuming.
Fan Gao +3 more
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2016
All names in the Apache HBase shell should be quoted, such as the table name, row key, and column name. Constants don’t need to be quoted. Successful HBase commands return an exit code of 0. But a non-0 exit status does not necessarily indicate failure and could indicate other issues, such as loss of connectivity.
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All names in the Apache HBase shell should be quoted, such as the table name, row key, and column name. Constants don’t need to be quoted. Successful HBase commands return an exit code of 0. But a non-0 exit status does not necessarily indicate failure and could indicate other issues, such as loss of connectivity.
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A query method for domain ontology based on HBase
2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2017To address the problem of distributed query in the domain ontology of civil aviation emergency, this paper proposed a distributed storage and a query method of domain ontology based on HBase. It adopted a method for storing domain ontology metadata and RDF instance data separately.
Hong Wang, Kang Sun, Xuejun Wang
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A hybrid index for multi-dimensional query in HBase
2016 4th International Conference on Cloud Computing and Intelligence Systems (CCIS), 2016With the explosive growth of data, distributed databases are widely used in various applications, including e-commerce, social networking, recommendation system, location-based service and etc. Among them, the use of HBase is the most common. However, it does not natively support multi-dimensional query and the existing multi-dimensional index ...
Xiaosheng Tang, Boda Han, Han Chen
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Social Network Path Analysis Based on HBase
2013Online social network services have become indispensable in people’s daily life. The analysis of data in social network services often involves data mining techniques. However, the quick increase of users in such services posts challenges to develop effective data mining algorithms to deal with large social network data.
Yan Qiang 0001 +6 more
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MapReduce Example With HBase for Association Rule
Lecture Notes in Electrical Engineering, 2014Jongwook Woo
exaly