More and more applications today use, generate and handle very large volumes of data. In particular, this is true for Smart City applications, which attract a rapidly increasing interest from government, companies, citizens, developers, scientists, etc. They cover a large spectrum of needs in public safety, water and energy management, smart buildings, government and agency administration, social programs, transportation, health, education. They are fed with huge amounts of input data, in various formats, from a continuously increasing number of sources (sensors, governmental, regional, and municipal sources, citizens, public open data sources, etc.), are describe by complex workflow and in many cases impose real-time processing capabilities, useful in decision taking.
The DataWay project aims to develop Real-time Data Processing Platform for Smart Cities focusing on making sense of Big Data by extracting valuable information in an intelligent way by aggregation, reduction, retrieval, composition and decomposition of data processing tasks, which can de described by real-time analytics. [Read more]
The DataWay concept is as follow: Big Data is produced by Smart Cities Application and is processed and aggregated (top-down) and data extraction will make sense of Big Data (bottom-up).
Many Smart City applications are designed following event-driven model, which means they react to new events and context changes. The volume and variety of data are important aspects of Big Data processing with new challenges added by Smart City applications. [Read more].