applications of big data & hadoop

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Applications of Hadoop

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Page 1: Applications of Big Data & Hadoop

Applications of Hadoop

Page 2: Applications of Big Data & 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

Page 3: Applications of Big Data & Hadoop

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

Page 4: Applications of Big Data & Hadoop

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.

Page 5: Applications of Big Data & Hadoop

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

Page 6: Applications of Big Data & Hadoop

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

Page 7: Applications of Big Data & Hadoop

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

Page 8: Applications of Big Data & Hadoop

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

Page 9: Applications of Big Data & Hadoop

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.