Add to ORKGTOREADOR Labs1 offer a Big Data Analytics-as-a-Service environment for testing simplified but real-life Big Data analytics vertical scenarios. Users are challenged with requirements, described from a business perspective, and are requested to compare alternative options, investigating the consequences of their choices. This \u201ctrial and error\u201d approach brings up the interconnections and interferences of the different design stages typically addressed in preparing a Big Data campaign
Thanks to the advances achieved in the last decade, the lack of adequate technologies to deal with B...
This chapter uses the five V’s of Big Data (volume, velocity, variety, veracity, and value) to form ...
Big Data must be processed with advanced collection and analysis tools, based on predetermined algor...
TOREADOR Labs1 offer a Big Data Analytics-as-a-Service environment for testing simplified but real-l...
The full potential of Big Data Analytics (BDA) can be unleashed only by overcoming hurdles like the ...
In order to reduce the initial investments needed by small and medium enterprises (SMEs) to acquire ...
Big Data domain is one of the most promising ICT sectors with substantial expectations both on the s...
In order to reduce the initial investments needed by small and medium enterprises (SMEs) to acquire ...
In the past few years, an explosion of interest in big data has occurred from both academia and busi...
The phenomenon called Big Data (BD) refers to the presence of large amounts of data that are both st...
Companies able to take advantage of the information coming from the use of Big Data will have a comp...
Despite the benefits of investing in Big Data systems are largely recognised, their adoption have be...
In the past few years, an explosion of interest in big data has occurred from both academia and busi...
The purpose of this paper is to identify the factors that affect the intention to use Big Data Appli...
Big Data Analytics (BDA) is evolving as an essential topic for researchers and practitioners due to ...
Thanks to the advances achieved in the last decade, the lack of adequate technologies to deal with B...
This chapter uses the five V’s of Big Data (volume, velocity, variety, veracity, and value) to form ...
Big Data must be processed with advanced collection and analysis tools, based on predetermined algor...
TOREADOR Labs1 offer a Big Data Analytics-as-a-Service environment for testing simplified but real-l...
The full potential of Big Data Analytics (BDA) can be unleashed only by overcoming hurdles like the ...
In order to reduce the initial investments needed by small and medium enterprises (SMEs) to acquire ...
Big Data domain is one of the most promising ICT sectors with substantial expectations both on the s...
In order to reduce the initial investments needed by small and medium enterprises (SMEs) to acquire ...
In the past few years, an explosion of interest in big data has occurred from both academia and busi...
The phenomenon called Big Data (BD) refers to the presence of large amounts of data that are both st...
Companies able to take advantage of the information coming from the use of Big Data will have a comp...
Despite the benefits of investing in Big Data systems are largely recognised, their adoption have be...
In the past few years, an explosion of interest in big data has occurred from both academia and busi...
The purpose of this paper is to identify the factors that affect the intention to use Big Data Appli...
Big Data Analytics (BDA) is evolving as an essential topic for researchers and practitioners due to ...
Thanks to the advances achieved in the last decade, the lack of adequate technologies to deal with B...
This chapter uses the five V’s of Big Data (volume, velocity, variety, veracity, and value) to form ...
Big Data must be processed with advanced collection and analysis tools, based on predetermined algor...