抽象的

Big Data Intelligence in Logistics Based On Hadoop And Map Reduce

Akhil P Sivan, Jisha Johns, Prof. Jayasurya Venugopal

The logistics industry is competing in a changing and continuously challenging world. As our economy is moving into this new information age, logistics industries are facing a lot of challenges as well as opportunities. The advancement of E-commerce and evolution of new data sources like sensors, GPS, smartphones etc exploded the business with large amount of real-time and near real-time data. However, to deal with such a large amount of data and to gain business insights, logistics firms requires faster and comprehensive data collection and analytics technologies. This paved the way for Big data analytics on the logistic information. In this paper, we discuss the opportunities and analysis capability of technologies like Big Data and Hadoop for supporting the current ways of doing business and future innovation. Thus this paper presents a modern approach to information management and analytics in order to achieve operational efficiency for logistic firms.