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Spatio-temporal queries in HBase
2015 IEEE International Conference on Big Data (Big Data), 2015Geoscience gives insights into our surroundings and benefits many aspects of our life. Nowadays, with massive sensors deployed to sense all kinds of parameters for environments, tens of billions, even trillions of sensed data are collected and need to be analyzed for surveillance or other purposes.
Xiaoying Chen +3 more
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Information Sciences, 2015
Mining large graphs using distributed platforms has attracted a lot of research interests. Especially, large graph mining on Hadoop has been researched extensively, due to its simplicity and massive scalability. However, the design principle of Hadoop to maximize scalability often limits the efficiency of the graph algorithms.
Lee, H Lee, Ho +2 more
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Mining large graphs using distributed platforms has attracted a lot of research interests. Especially, large graph mining on Hadoop has been researched extensively, due to its simplicity and massive scalability. However, the design principle of Hadoop to maximize scalability often limits the efficiency of the graph algorithms.
Lee, H Lee, Ho +2 more
openaire +2 more sources
Modeling fuzzy relational database in HBase
Journal of Intelligent & Fuzzy Systems, 2016With the increase of massive data, a large number of business applications began to seek effective and scalable frameworks for data storages and processing. Under this background, emerging technologies for big data, such as Hadoop-based systems that use scalable distributed storage system HBase, become available.
Jian Liu 0028, X. X. Zhang
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Enumeration System on HBase for Low-Latency
2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2015HBase is a popular distributed Key/Value storage system based on the idea of BigTable. It is being used in many data-centers, such as Facebook and Twitter, for their portability and scalability. For the system, low-latency and large storage is expected when used in industry. However, it is time consuming when retrieving one column via another one. Many
Hang Chen +5 more
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Data conversion from RDB to HBase
2017 IEEE 8th International Conference on Awareness Science and Technology (iCAST), 2017Enterprises widely use RDB to store business data, but a complex query usually takes a long time to join some tables for obtaining accurate data. Therefore, RDB is not suitable for applications that only require fast query but not care the query result is accurate or not. Hadoop HBase just has this feature.
Jeang-Kuo Chen, Wei-Zhe Lee
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2013
HBase is a top Apache open-source project that separated from Hadoop. As it has most of the features of Google’s BigTable system and is implemented in Java, it is very popular in days of massive data. HBase’s advantages are reflected in the massive data read and query. Loading huge amounts of data into HBase is the first step to use HBase. HBase itself
Juan Yang, Xiaopu Feng
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HBase is a top Apache open-source project that separated from Hadoop. As it has most of the features of Google’s BigTable system and is implemented in Java, it is very popular in days of massive data. HBase’s advantages are reflected in the massive data read and query. Loading huge amounts of data into HBase is the first step to use HBase. HBase itself
Juan Yang, Xiaopu Feng
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Research on Construction of RDF with HBase
Machine Learning and Soft Computing, 2023Resource Description Framework (RDF) is designed as a standard metadata model for data interchange on the Internet. Because of machine comprehensibility, it has been successfully used in many areas, such as the intelligent processing of numerous data. While the generation of RDF with relational database (RDB) receives much attention, little effort has ...
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2017
Previous chapters explored how to leverage an HDInsight cluster to store and process big data. You learned how MapReduce jobs process data. Also, you looked at Hive and Pig, and learned how they make it easy to work with data. All the technologies and tools that you saw so far work in batch mode.
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Previous chapters explored how to leverage an HDInsight cluster to store and process big data. You learned how MapReduce jobs process data. Also, you looked at Hive and Pig, and learned how they make it easy to work with data. All the technologies and tools that you saw so far work in batch mode.
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Pick your choice in HBase: Security or performance
2016 IEEE International Conference on Big Data (Big Data), 2016When analyzing sensitive data in a cloud-deployed Hadoop stack, data-in-transit security needs to be enabled, especially in the underlying storage tier. This, however, will affect the performance of the system and may partially offset the cost benefits of the cloud.
Pallas, Frank +2 more
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Distributed storage of network measurement data on HBase
2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, 2012As traditional network measurement systems store data in relational databases, the storage capacity and computing resource are limited, besides, the extendibility and elasticity are low. The centralized storage scheme will not meet the needs of big data analysis as the data is growing rapidly and continuously.
Haijie Ding +3 more
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