Enhanced n-wheeler post accidental rescue system connecting to the correct person at the correct time

A Parashar, V Maheshwari… - 2016 IEEE Region 10 …, 2016 - ieeexplore.ieee.org
Automobile Technology now-a-days is growing very quickly, and this incredible growth has
definitely made our lives better than before. This growth in technology has also increased …

Design science research contribution to business intelligence in the cloud—A systematic literature review

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 for business intelligence in big data

JA Patel, P Sharma - Big data, 2020 - liebertpub.com
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 …

A taxonomy development method to define the vocabulary for rule-based guidance in complex emerging technologies

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 …

Moving data warehousing and analytics to the cloud to improve scalability, performance and cost-efficiency

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 …

Cost benefits of flexible hybrid cloud storage: mitigating volume variation with shorter acquisition cycle

G Laatikainen, O Mazhelis, P Tyrvainen - Journal of Systems and Software, 2016 - Elsevier
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 …

A robust software architecture based on distributed systems in big data healthcare

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 …

VOLAP: A scalable distributed system for real-time OLAP with high velocity data

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 …

VOLAP: A scalable distributed real-time OLAP system for high-velocity data

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 …

Optimizing OLAP cubes construction by improving data placement on multi-nodes clusters

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 …