Due to the enormous amount of data present and growing in the Web and other data sources such as sensors and social networks, there has been an increasing interest in incorporating this huge enormous of external and unstructured data, normally referred as "Big Data", into traditional applications. This necessity has made that traditional database systems and processing need to evolve and accommodate them to this new situation. We view that several key themes with the Big Data trend include (i) using a cloud for large-scale external and internal data; (ii) providing an easy-to-use but powerful services to access/manage/analyze the big data in the cloud; (iii) defining a problem-solving space and developing an architecture for a big data environment to conceptualize goals, tasks, and problem-solving methods to apply to domains; and (iv) managing big data and analyzing them to discover business values.
Therefore, this new era of cloud environment and Big Data requires conceptualization and methods to effectively manage big data and accomplish intended business goals. Thus, the objective of MoBiD'14 is to be an international forum for exchanging ideas on the latest and best proposals for modeling and managing big data in this new data-drive paradigm. Papers focusing on novel applications and using conceptual modeling approaches for any aspects of Big Data such as MapReduce, Hadoop and its ecosystems, Big Data Analytics, social networking, security and privacy, data science approaches, etc. are highly encouraged. The workshop will be a forum for researchers and practitioners who are interested in the different facets related to the use of the conceptual modeling approaches for the development of next generation applications based on Big Data.