Big Data Applications

Government
Big data analytics has proven to be very useful in the public sector. Big data analysis played a major role in Barack Obama's 2012 re-run campaign. And more recently, big data analysis focused on BJP and its allies to win India's most successful General Elections in 2014. The Indian government is using a number of methods to determine how Indian voters respond to government actions, as well as policy ideas to increase.

Social Media Analytics
The advent of social media has led to the explosion of big data. Various solutions have been developed to analyze social media activities such as IBM's Cognos Consumer Insights, a point solution that works on IBM's BigInsights Big Data platform, can make sense of the conversation. Social media can provide important real-time information on how the market responds to products and campaigns. With the help of these ideas, companies can adjust their pricing, promotions and campaigns accordingly. Before using big data it is necessary to do something before big data to get smart and important results. Therefore knowing the mind of the consumer the use of smart decisions based on big data is necessary.

Technology
The use of big data technology involves the following companies that deal with large amounts of data on a daily basis and apply it to the implementation of business decisions. For example, Bay.com uses two data repositories for 7.5 petabytes and 40PB as well as a 40PB Hadoop collection for search, buyer recommendations, and sales. Inside the eBay 90 s 90PB data center. Amazon.com handles millions of daily retrieval activities, as well as queries from more than half a million sellers. The key technology that keeps Amazon running is Linux — and since 2005, they had three major Linux data rates worldwide, with 7.8 TB, 18.5 TB, and 24.7 TB. Facebook manages 50 billion images from its users. Windermere Real Estate uses anonymous GPS signals from nearly 100 million drivers to help new home buyers determine their normal driving times to and from work at different times of the day.

Fraud detection
For businesses whose performance includes any form of claims or processing transactions, fraud detection is one of the most compelling Big Data app examples. Historically, the discovery of fraud on a plane has proven an unattainable goal. In many cases, fraud is found long after the fact, when the damage has been done and what is left is to reduce the risk and adjust the policies to prevent them from happening again. Big Data platforms can analyze claims and transactions in real time, identify major patterns in multiple events or detect undesirable behavior from each user, can change the game for fraud detection.