The ETL (Extract-Transform-Load) processes are responsible for integrating data into a
place called datawarehouse. In the ETL phase, data are extracted from various sources …

The Big Data revolution promises to build a data-driven ecosystem where better decisions
are supported by enhanced analytics and data management. However, major hurdles still …

Abstract Internet of Things (IoT) is a promising paradigm enabling many applications to
network together through the internet. A huge volume of data is generated by such IoT …

With the evolution of the Internet of things and smart cities, a new trend of the Internet of
simulation has emerged to utilise the technologies of cloud, edge, fog computing, and high …

Abstract The Internet of Things anticipates the conjunction of physical gadgets to the Internet
and their access to wireless sensor data which makes it expedient to restrain the physical …

The advent of the digital age has led to a rise in different types of data with every passing
day. In fact, it is expected that half of the total data will be on the cloud by 2016. This data is …

During the last decade, the most challenging problem the world envisaged was big data
problem. The big data problem means that data is growing at a much faster rate than …

Data analytics systems (DASs) with big data capabilities have started playing a promising
role in online service ecosystems and large-scaled interconnected systems of many …

Big data starts to be employed in some industries but not yet widely or properly adopted in
healthcare industry. This research paper aims at studying the usages and challenges of big …

Для анализа влияния предиктивной аналитики на деятельность компаний проведен
обзор литературы. Предметно рассмотрены существующие виды аналитики на …