Image Classification with Hadoop
Image classification starts with the notion that we build a training set and that computers are equipped to recognize and categorize what they’re processing at.
Social Sentiment Analysis with Hadoop
Social sentiment analysis is simply the most overrated of the Hadoop applications, which should be no surprise, given that we breathe in a world with a constantly connected and expressive population.
Risk Modelling with Hadoop
Risk modelling is another major use case that’s energized by Hadoop. We think we will find that it closely resembles the fraud detection model use case in which it acts like a model-based discipline.
Data Warehousing with Hadoop
Data warehouses are on the edge of the line, trying to cope with growing needs on their finite resources. The sudden growth in the volumes of data set
Log Data Analysis with Hadoop
Log analysis is a common practice which can be easily handled by Hadoop project. Indeed, the early applications of Hadoop were for the large-scale analysis of clickstream logs — log which record data about the web pages that users browse