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A Distributed Storage Middleware Based on HBase and Redis
Communications in Computer and Information Science, 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.
Yuzhong Chen, Kun Guo, Chen Yuzhong
exaly +2 more sources
2016
Apache HBase is the Apache Hadoop database. Apache HBase is based on the wide column data store model with a table as the unit of storage. A table consists of one or more column families. Apache HBase is a schema-free NoSQL database. HBase stores data in the HDFS by default.
exaly +2 more sources
Apache HBase is the Apache Hadoop database. Apache HBase is based on the wide column data store model with a table as the unit of storage. A table consists of one or more column families. Apache HBase is a schema-free NoSQL database. HBase stores data in the HDFS by default.
exaly +2 more sources
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
exaly +2 more sources
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
exaly +2 more sources
Design Patterns of HBase Configuration
, 2013 Cloud-based infrastructures enable applications to collect and analyze massive amounts of data. NoSQL databases endowed with high availability and excellent scalability through their easy deployment on cloud-computing platforms, become a more attractive data-storage solution for these big-data applications.
Dan, Han
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HBase Write Performance Optimizations
法政大学大学院紀要. 情報科学研究科編, 2014 Abstract—In the past few years, along with the expansion ofthe data volume and the cost of computer hardware down, thedemand of quickly handling huge amounts of data is driving therising and development of distributed computing. Database ^stembased on the column storage also gradually rise along with thevigorous development of the cloud computing ...
Lu Haomin
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A Comprehensive Study of HBase Storage Architecture—A Systematic Literature Review [PDF]
Symmetry, 2021 According to research, generally, 2.5 quintillion bytes of data are produced every day. About 90% of the world’s data has been produced in the last two years alone. The amount of data is increasing immensely.
Muhammad Umair Hassan, Ibrahim A Hameed
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An Efficient Row Key Encoding Method with ASCII Code for Storing Geospatial Big Data in HBase
ISPRS International Journal of Geo-Information, 2020 Recently, increasing amounts of multi-source geospatial data (raster data of satellites and textual data of meteorological stations) have been generated, which can play a cooperative and important role in many research works.
Quan Xiong, Sijing Ye, Diyou Liu
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The Temporal mechanisms in HBase
Journal of Computer Science and Technology, 1996The research on Temporal Databases (TDB) has been a hot topic for quite a long time, but few implementations have been reported. The authors have developed a prototype of temporal DBMS in DOS/Windows environment, called HBase. This paper discusses its temporal structure, temporal syntax and semantics, as well as the special techniques used in the ...
Changjie Tang, Min Xiong
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