MONGODB DATABASES IN BIG DATA APPLICATIONS IN TRANSPORTATION INDUSTRY

M2M (Machine-to-Machine) technologies provide a number of solutions in logistics and transport, such as fleet management solutions, asset tracking systems, parking space management and payment, road tolls, traffic volume monitoring, connected road signs, traffic lights and cameras, connected navigation, passenger services, etc. The data obtained is huge and need high performance to be usable. NoSQL data systems are the answer to it. When compared to relational databases, many NoSQL systems share several key characteristics including a more flexible data model, higher scalability, and a superior performance. Although there are dozens of NoSQL databases, they primarily fall into one of the following three categories: document databases, graph databases and databases based on key-value and wide column model. MongoDB is an open-source document database. In this paper the possibilities of using MongoDB databases in innovative applications of Big Data in the transportation industry will be explored