Results 121 to 130 of about 612 (172)
Some of the next articles are maybe not open access.
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
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
openaire +2 more sources
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
openaire +1 more source
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
openaire +2 more sources
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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 ...
openaire +1 more source