04 May 2016
The interest in what has been called Big Data from systems analysis projects, come from many areas of systems study.
The possibility of new systems thinking has arisen out of external advances in hardware and software and cheapness of data sources. This has been accompanied by increased cheaper data storage capabilities, increased computational processing power including HPC, and the availability of increased volumes of data from a variety of sources, which give organization more data than they have computing resources and technologies to process internally which in turn gives rise to evolving new computing power data architectures in the cloud. All this makes digital research possible that never before was possible.
In addition to the obvious great volumes of data, Data Scientists have begun a systematic study of the variety of characterizing Big Data often initially described as the four Vs: Volume, Variety, Velocity, and Veracity. We will discuss these in our talks.
In our effort to develop a IIASA Model we need to find ways of making these varieties known and accessible in the process of doing both initial design of a systems and in the building of the system under study (SUS) as well as in the running of the specific models run under the SUS.
Last edited: 13 May 2016
International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313