Major Applications of Big Data & Hadoop Advertising,MediaandEntertainment ClickStreamDataAnalysis AnalysisofServerLogData AnalysisofGeolocationData(PredictiveAnalysis) FraudDetectionandPrevention

1. Applications of Hadoop

2. 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

3. Advertising , Media and Entertainment industries are using
Hadoop in many ways.
Benefits of using Hadoop in this field are:
 Improved ad targeting, analysis, forecasting and
optimization.
 Personalized recommendations.
 Enhanced game player engagement.
Advertising, Media and Entertainment

4. 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.

5. 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.
Web-based browsing and Buying Experience

6. 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

7. 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 Server Log Data

8. Predictive analysis(Geolocation Data) is the area of data mining
concerned with forecasting probabilities and trends.
Geolocation data is the information associated with an electronic device that
can be used to identify its physical location.
Hadoop helps, reduce data storage costs while providing value driven
intelligence from asset tracking to predicting behavior.
Analysis of Geolocation Data

9. Why go for Hadoop for creating Fraud Detection
Model:
Hadoop process large datasets and data sampling does not
work for rare events.
Hadoop can solve much harder problems by leveraging multiple
cores across thousands of machines and search through much
larger problem domains.
Hadoop maintains an agile environment, it allows different
kinds of analysis and changes to the existing models.
Fraud Detection and Prevention
Fraud is a deliberate misrepresentation which causes another person to suffer damages.