Applications of Hadoop
Applications of Hadoop Framework Advertising , Media and Entertainment
Click Stream Data Analysis Analysis of Server Log Data Analysis of Geolocation Data(Predictive Analysis)
Fraud Detection and Prevention
Advertising, Media and Entertainment Advertising , Media and Entertainment industries are using
Hadoop in many ways. Benefits of using Hadoop in this field are:
ďƒź Improved ad targeting, analysis, forecasting and optimization. ďƒź Personalized recommendations. ďƒź Enhanced game player engagement.
Big Data Click Stream Analysis Click stream analysis is the process of collecting, analyzing and reporting aggregate data about which pages visitors visit. So we can say clickstream analysis is the tracking and analysis of visits to websites.
Web-based browsing and Buying Experience A customer visits a shopping website to buy products. He clicks to read the specification of that product or item. After going through the items that are of his interest, he adds those items to the shopping cart. He then proceeds to checkout.
The buyer looks at the item’s shipping cost, decides not to buy that product and close the browser window.
Every click he has made and then stopped making has the potential to offer valuable insight to the company behind this website.
Analysis of Server Log Data Analysis of Server log data is done by Hadoop. Log processing is used to extract a variety
of information. The most common uses of log processing is to extract errors or count the occurrence of some events within a system that might be login failure.
Analysis of Server Log Data The enterprises mines server log data to gain a good understanding of: Customer Habits Social Media Use
Web Advertisement Effectiveness Other Metrics that Inform Business Decisions
Analysis of Geolocation Data Predictive analysis(Geolocation Data) is the area of data mining concerned with forecasting probabilities and trends. ďƒź Geolocation data is the information associated with an electronic device that can be used to identify its physical location.
ďƒź Hadoop helps, reduce data storage costs while providing value driven intelligence from asset tracking to predicting behavior.
Fraud Detection and Prevention Fraud is a deliberate misrepresentation which causes another person to suffer damages. Why go for Hadoop for creating Fraud Detection Model: ďƒź Hadoop process large datasets and data sampling does not work for rare events. ďƒź Hadoop can solve much harder problems by leveraging multiple cores across thousands of machines and search through much larger problem domains.
ďƒź Hadoop maintains an agile environment, it allows different kinds of analysis and changes to the existing models.