This talk is about how both private enterprise and government wish to improve the value of their data and how they deal with this issue. The talk summarizes the ways we think about Big Data, Open Data and their use by organizations or individuals. Big Data is explained in terms of collection, storage, analysis and valuation. This data is collected from numerous sources including networks of sensors, government data holdings, company market databases, and public profiles on social networking sites. Organizations use many data analysis techniques to study both structured and unstructured data. Due to volume, velocity and variety of data, some specific techniques have been developed. MapReduce, Hadoop and other related as RHadoop are trendy topics nowadays.
In this talk several applications and case studies are presented as examples. Data which come from government sources must be open. Every day more and more cities and countries are opening their data. Open Data is then presented as a specific case of public data with a special role in Smartcity. The main goal of Big and Open Data in Smartcity is to develop systems which can be useful for citizens. In this sense RMap (Mapa de Recursos) is shown as an Open Data application, an open system for Madrid City Council, available for smartphones and totally developed by the researching group G-TeC (www.tecnologiaUCM.es).