Results 41 to 50 of about 1,419 (211)
An Efficient Access Model of Massive Spatiotemporal Vehicle Trajectory Data in Smart City
IEEE Access, 2020 Daily trajectory data scale of vehicle monitoring networks in smart cities is growing rapidly, reaching daily volumes of 1 billion. Accessing hyper massive spatiotemporal trajectory data (HMSTD) in transport, the Internet of Things, or other fields is ...
Lianjie Zhou, Qingquan Li, Wei Tu
doaj +1 more source
, 2021 En este vídeo se muestran las características de HBase como base de datos columnarhttps://polimedia.upv.es/visor/?id=d49b9460-dc12-11eb-9622-c5dead292e12Alberola Oltra, JM. (2021). HBase.
Alberola Oltra, Juan Miguel
core
Lessons Learned with Laser Scanning Point Cloud Management in Hadoop HBase [PDF]
, 2018 While big data technologies are growing rapidly and benefit a wide range of science and engineering domains, many barriers remain for the remote sensing community to fully exploit the benefits provided by these emerging powerful technologies. To overcome
Vo, Anh-Vu +9 more
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Benchmarking Redis and HBase NoSQL Databases using Yahoo Cloud Service Benchmarking tool [PDF]
, 2022 The Not Structured Query Language (NoSQL) databases have become more relevant to applications developers as the need for scalable and flexible data storage for online applications has increased.
Alzaidi, Mustafa, Vagner, Aniko
core +3 more sources
IPL Visualization and Prediction Using HBase
Procedia Computer Science, 2017 Abstract With the increasing number of matches day by day, it has become difficult to manage or extract useful information from the available data of all the matches. The paper presents a data visualization and prediction tool in which an open-source, distributed, and non-relational database, HBase is utilized to keep the data related to IPL (Indian ...
Shubhra Singh, Parmeet Kaur 0001
openaire +1 more source
, 2021 En este vídeo se muestra cómo utilizar la base de datos HBase mediante operaciones básicas en la consolahttps://polimedia.upv.es/visor/?id=8dfdeb20-c11e-11eb-bb4b-130103cd993fAlberola Oltra, JM. (2021). Operaciones básicas con HBase.
Alberola Oltra, Juan Miguel
core
Zhejiang Daxue xuebao. Lixue ban, 2018 地表覆盖是地理国情监测的重要对象，为地理国情分析评价模型提供了可靠的数据源.高效的地表覆盖数据检索方法是挖掘地表覆盖数据潜在价值的前提.由于地表覆盖数据体量庞大、更新频繁，要素分布密集且不均匀，传统的空间检索方法出现了扩展困难、检索能力不足等问题.提出了一种基于HBase与静态多级格网索引的地表覆盖数据空间检索方法，针对地表覆盖数据特征设计了基于HBase的静态多级格网索引，利用MapReduce实现索引并行构建，通过多级过滤的方式，提高了地表覆盖空间范围的查询效率.实验表明，该方法能快速完成大规模 ...
ZHULinying(祝琳莹) +4 more
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Journal of Geophysical Research: Atmospheres, Volume 131, Issue 11, 16 June 2026.Abstract This study investigates the vertical development of shallow cumulus (ShCu) clouds in the Central Amazon (CAMZ) by combining large‐eddy simulations (LES) with observational data from the GoAmazon2014/5 campaign. Analyses of turbulent kinetic energy budgets, updraft mass flux, moisture flux, and surface fluxes across cloud sizes indicate that ...
Silvio N. Figueroa +2 more
wiley +1 more source
, 2021 En este vídeo se muestra cómo utilizar la base de datos HBase desde Python mediante la librería Happybasehttps://polimedia.upv.es/visor/?id=c82c2570-c121-11eb-bb4b-130103cd993fAlberola Oltra, JM. (2021). HBase con Python.
Alberola Oltra, Juan Miguel
core
Business Strategy and the Environment, Volume 35, Issue 4, Page 5895-5925, May 2026.ABSTRACT This study examines the economic consequences of Digital Technologies Disclosure (DTD), focusing on its impact on the cost of capital. The increasing significance of digital transformation in shaping corporate strategies and market perceptions motivates the study.
Hussein Mohsen Saber Ahmed +2 more
wiley +1 more source