Big Data is generally defined as a massive volume of structured, semi-structured and/or unstructured data, which may not be effectively managed and processed using traditional database and software techniques. Big Data are of high-volume, high-velocity, and contain a variety of information assets that require new management/processing methods so as to enable enhanced decision making, insight discovery and process optimization in various organisations, industries, and social networks among others.
Big Data is transforming various domains such as science/research, engineering, medicine, healthcare, finance, business, and ultimately society itself. The goal of the International Symposium on Big Data Research and Innovation (BigR&I) is to assess and analyse the current approaches and technologies, as well as identify the major challenges and future perspectives for the management, processing and application of Big Data in various fields. BigR&I symposium provides a forum for exchanging knowledge, ideas and information between researchers, developers and practitioner from academia and industry.