Results 131 to 140 of about 612 (172)
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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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A Distributed Storage Middleware Based on HBase and Redis
2021In the era of big data, traditional relational databases face challenges in massive data storage. HBase is a non-relational database based on column storage which is used widely for big data storage. The writing performance of HBase is high, but the unbalanced load caused by its uneven data storage strategy is the bottleneck of its reading performance.
Lingling Xu +2 more
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2014 Conference on IT in Business, Industry and Government (CSIBIG), 2014
HBase is a distributed column-oriented database built on top of HDFS. HBase is the Hadoop application to use when you require real-time read/write random access to very large datasets. HBase is a scalable data store targeted at random read and write access of (fairly-) structured data. It's modeled after Google's Big table and targeted to support large
Vijayalakshmi Bhupathiraju +1 more
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HBase is a distributed column-oriented database built on top of HDFS. HBase is the Hadoop application to use when you require real-time read/write random access to very large datasets. HBase is a scalable data store targeted at random read and write access of (fairly-) structured data. It's modeled after Google's Big table and targeted to support large
Vijayalakshmi Bhupathiraju +1 more
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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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2016
HBase runs on HDFS as the underlying filesysystem and benefits from HDFS features such as data reliability, scalability, and replication. HBase stores data as StoreFiles (HFiles) on the HDFS datanodes. HFile represents the file format for HBase. HFile is an HBase-specific file format based on the TFile binary file format.
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HBase runs on HDFS as the underlying filesysystem and benefits from HDFS features such as data reliability, scalability, and replication. HBase stores data as StoreFiles (HFiles) on the HDFS datanodes. HFile represents the file format for HBase. HFile is an HBase-specific file format based on the TFile binary file format.
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Optimising column family for OLAP queries in HBase
International Journal of Big Data Intelligence, 2016Apache HBase is a column-oriented NoSQL key-value store built on top of the Hadoop distributed file-system. Logically, columns in HBase are grouped into column families. Physically, all columns in one column family are stored in the same set of files. Therefore the division of column families is closely related to the response time for a specific row ...
Fangzhou Yang +2 more
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Implementing Joins over HBase on Cloud Platform
2014 IEEE International Conference on Computer and Information Technology, 2014Amount of data and number of database accesses has increased enormously. Traditional databases are unable to fulfil these requirements. Along with the increased amount of data and number of accesses, data is becoming more unstructured. Relational database could not only serve these purposes efficiently but also they add a limitation on the size of data,
Ajinkya Gadkari +2 more
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Performance testing of HBase based on the potential cycle
2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS), 2013With the development and wide application of the computing technology, performance testing becomes more and more important. Real simulation of the user behavior becomes a concern of the performance testing. The paper introduces the potential model to establish the model of the visit amount which can be used in the performance testing.
Lizhi Cai +3 more
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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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