சுருக்கம்

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.

குறியிடப்பட்டது

கல்வி விசைகள்
ஆராய்ச்சி பைபிள்
CiteFactor
காஸ்மோஸ் IF
RefSeek
ஹம்டார்ட் பல்கலைக்கழகம்
அறிவியல் இதழ்களின் உலக பட்டியல்
அறிஞர்
சர்வதேச புதுமையான இதழ் தாக்க காரணி (IIJIF)
சர்வதேச அமைப்பு ஆராய்ச்சி நிறுவனம் (I2OR)
காஸ்மோஸ்

மேலும் பார்க்க