OS Mwilu, I Comyn-Wattiau, N Prat - Future Generation Computer Systems, 2016 - Elsevier
Business intelligence (BI) helps managers make informed decisions. In the age of big data, BI technology provides essential support for decision making. Cloud computing also attracts …
Online analytical processing (OLAP) approach is widely used in business intelligence to cater the multidimensional queries for decades. In this era of cutting-edge technology and …
O Sangupamba Mwilu, N Prat… - Business & Information …, 2024 - Springer
Emerging technologies are characterized by their uncertainty and potential impact. Decisions about these technologies are therefore crucial and difficult. The problem is …
S Mishra - Distributed Learning and Broad Applications in …, 2020 - dlabi.org
The shift of data warehousing and analytics to the cloud has fundamentally changed how organizations handle their data, providing a more flexible and scalable environment for …
Hybrid cloud storage combines cost-effective but inflexible private storage along with flexible but premium-priced public cloud storage. As a form of concurrent sourcing, it offers flexibility …
H Salavati, TJ Gandomani… - … Conference on Advances …, 2017 - ieeexplore.ieee.org
Healthcare information is growing significantly and using big data solutions like NoSQL databases for huge volume of data and data processing distribution are urgency. Moreover …
F Dehne, D Robillard, A Rau-Chaplin… - … conference on cluster …, 2016 - ieeexplore.ieee.org
This paper presents VelocityOLAP (VOLAP), a distributed real-time OLAP system for high velocity data. VOLAP makes use of dimension hierarchies, is highly scalable, and exploits …
F Dehne, DE Robillard, A Rau-Chaplin… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper presents VelocityOLAP (VOLAP), a distributed real-time OLAP system for high- velocity data. VOLAP makes use of dimension hierarchies, is highly scalable, exploits both …
B Arres, N Kabachi, O Boussaid - 2015 23rd Euromicro …, 2015 - ieeexplore.ieee.org
The increasing volumes of relational data let us find an alternative to cope with them. The Hadoop framework-which is an open source project based on the MapReduce paradigm-is …