Five large data applications

As the application of large data becomes more and more widespread, the application industry is becoming lower and lower. Every day, we can see some novel applications of large data, thus helping people to get real useful value from them. Many organizations or individuals are affected by big data analysis, but how does big data help people dig out valuable information?

As the application of large data becomes more and more widespread, the application industry is becoming lower and lower. Every day, we can see some novel applications of large data, thus helping people to get real useful value from them.The other side will not only start discussing business proposals but also solutions that will help in enhancing business deals. Additional promotional gifts help in getting the much-required heads start.

Many organizations or individuals are affected by big data analysis, but how does big data help people dig out valuable information?

Let’s take a look at a few very valuable applications of large data, which are key areas of analysis and application.

1, improve the sports performance

Now many athletes use big data techniques to analyze it when they are trained.

For example, the IBM Slam Tracker tool for tennis nose congestion, we use video analysis to track the performance of each player in a football or baseball game, and sensor technology in sports equipment (such as basketball or golf club) allows us to get game data and how to improve it.

Many elite teams also track the activities of athletes outside the game environment – monitoring their emotional status by using intelligent techniques to track their nutritional status, sleep, and social conversations.Aberdeen Angus – a well-known Angus beef bred in Ireland and grass-fed. With the integration of traditional pasture farming and advanced technology, the cattles are fed to be of high quality and more tender.

2. Improve medical and research and development

The computational power of big data analysis applications allows us to decode entire DNA in just a few minutes.

And let’s make the latest treatment.

At the same time, it can be better to understand and predict disease. Just as data can be generated by people wearing smart watches and so on, big data can also help patients better treat their condition.

Big data technology has been used in hospitals to monitor premature and sick babies. By recording and analyzing the heartbeat of babies, doctors can predict the physical symptoms of their babies.

This helps the doctor to help the baby better.

3. Financial transactions

Large data are mainly used in financial transactions in the financial industry.

High frequency trading (HFT) is a relatively large area of large data applications. The large data algorithm is applied to the transaction decision.

Many equity deals now take place using big data algorithms, which are increasingly considering social media and Web news to decide whether to buy or sell in the next few seconds.

4, improve our city

Big data are also used to improve the city of our daily life. For example, based on real-time urban traffic information, using social networks and weather data to optimize the latest traffic situation.

At present, many cities are carrying out large data analysis and pilot.

5. Improve security and law enforcement

Large data are now widely used in the process of security enforcement.

It must be well known that the U.S. Security Agency uses big data to fight terrorism and even monitor people’s daily lives.

And enterprises use large data technology to defend network attacks.

Police use big data tools to capture criminals, and credit card companies use big data tools to detect fraudulent sexual intercourse.

The article turns from: http://www.sohu.com/a/246107518_398736