Big Data in industry

Ethical Issues in the Big Data Industry

Big Data Semantics in Industry 4.0

The Industry 4.0 is a vision that includes connecting more intensively physical systems with their virtual counterparts in computers. This computerization of manufacturing will bring many advantages, including allowing data gathering, integration and analysis in the scale not seen earlier. In this paper we describe our Semantic Big Data Historian that is intended to handle large volumes of hete...

Analysis of Big Data Maturity Stage in Hospitality Industry

Introduction Big data analytics has attracted a lot of attention in recent years from many industries and businesses due to its huge impact on businesses operations, decision making process, and profitability. As increasing the revenue and improving guest experience are the core goals of the hospitality industry, having a proper and efficient big data analytics platform can dramatically lead th...

Privacy and Security of Big Data in THE Cloud

Big data has been arising a growing interest in both scien- tific and industrial fields for its potential value. However, before employing big data technology into massive appli- cations, a basic but also principle topic should be investigated: security and privacy. One of the biggest concerns of big data is privacy. However, the study on big data privacy is still at a very early stage. Many or...

Big Data Research: Will Industry Solve all the Problems?

The need for effective tools for big data data management and analytics continues to grow. While the ecosystem of tools is expanding many research problems remain open: they include challenges around efficient processing, flexible analytics, ease of use, and operation as a service. Many new systems and much innovation, however, come from industry (or from academic projects that quickly became b...