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Big Data Computing
Published in Vivek Kale, Parallel Computing Architectures and APIs, 2019
Hadoop HBase is the distributed database that supports the storage needs of the Hadoop distributed programming platform. HBase is designed by taking inspiration from Google BigTable; its main goal is to offer real-time read/write operations for tables with billions of rows and millions of columns by leveraging clusters of commodity hardware. The internal architecture and logic model of HBase are very similar to those of Google BigTable, and the entire system is backed by the Hadoop Distributed File System (HDFS), which mimics the structure and services of GFS.
Big Data Computing
Published in Vivek Kale, Digital Transformation of Enterprise Architecture, 2019
Hadoop HBase is the distributed database that supports the storage needs of the Hadoop distributed programming platform. HBase is designed by taking inspiration from Google BigTable; its main goal is to offer real-time read/write operations for tables with billions of rows and millions of columns by leveraging clusters of commodity hardware. The internal architecture and logic model of HBase is very similar to Google BigTable, and the entire system is backed by the Hadoop Distributed File System (HDFS), which mimics the structure and services of GFS.
Stream Analytics for Insider Threat Detection
Published in Bhavani Thuraisngham, Murat Kantarcioglu, Latifur Khan, Secure Data Science, 2022
Bhavani Thuraisngham, Murat Kantarcioglu, Latifur Khan
Google developed BigTable [CHAN2006, CHAN2008], a column-oriented data storage system. BigTable utilizes the Google File System and Chubby [BURR2006], a distributed lock service. BigTable is a distributed multi-dimensional sparse map based on row keys, column names, and time stamps.
Building an efficient storage model of spatial-temporal information based on HBase
Published in Journal of Spatial Science, 2019
Ke Wang, Guolin Liu, Min Zhai, Zhiwei Wang, Chuanyi Zhou
The storage of spatial-temporal data needs to meet the demands of high-speed data storage and queries, massive data storage, and high scalability and operability due to the inception of big data. HBase is an open-source application that stores structured, semi-structured and unstructured data by column on Google’s Bigtable (Cheng et al. 2010). It is a foundation for the efficient organization of spatial and temporal data.