From the technical perspective, algorithms that can handle big data from different resources in a real time manner will be required by the credit management system.
The evaluation and testing are carried out using a widely used NoSQL key/value database, Riak, and a real (open) and big data from the Council of London for public transportation of the London bus services.
However, because of sensing diversity and big data from WSN, most existing methods can not select appropriate sensors to cover all critical monitoring locations in large scale real deployments.
Big data from floating cars supply a frequent, ubiquitous sampling of traffic conditions on the road network and provide great opportunities for enhanced short-term traffic predictions based on real-time information on the whole network.
Many users and researchers working in different areas of big data ranging from real-time systems to large-scale data processing applications can assess the advantages and disadvantages of the platforms they are currently using.
For effectively utilization of acquired resources in Autonomous Vehicle (AV), big data analysis in real time will be a reliable way to produce valuable information from sensor data.
Some believe (with good justification) that these coming developments, coupled by guidance from "big data' analysis and real-time data crunching [ 29, 30], will usher in an era of "personalized" or "precision" medicine [ 10].
The report concludes that big data is a real and significant trend.
New applications have emerged, including cloud computing, big data analytics, real-time stock trading, and more.
These relate to available big data tools, real-time analytics, accuracy, representation, cost, and accessibility.
