Applications of Big Data & Hadoop
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The document discusses various applications of the Hadoop framework in fields such as advertising, media, and entertainment, highlighting benefits like improved ad targeting and personalized recommendations. It explains clickstream analysis and the importance of server log data for understanding customer behavior, as well as predictive analysis using geolocation data. Additionally, it emphasizes Hadoop's capabilities in fraud detection due to its ability to process large datasets and support complex analysis across multiple machines.
Applications of Big Data & 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.