Benefits of big data to us
1, big data to facilitate our lives
Self-service payment of water, electricity, gas, TV bills, car shakedown, cell phone recharging, violation of the law, provident fund query, cell phone invoicing, query the progress of the court case. This is a typical example of the use of big data to promote the assurance and improvement of people's livelihood. In addition, big data is also used in the smart home, intelligent lighting system and so on.
2, big data facilitates us to see the doctor
To date, the most powerful application of big data is the collection of electronic medical records. Every patient has his or her own electronic record, including personal medical history, family medical history, allergies, and all medical test results. Big data collection of patient information allows for early detection of diseases, which for patients not only reduces the risk of health damage, but also enables them to reduce medical expenditures.
Another innovation is the use of wearable devices that report on a patient's health in real time. These new analytics devices have the same functionality, but can be used outside of a healthcare facility, reducing healthcare costs, and allowing patients to be informed of their health at home, while also receiving treatment recommendations from their smart devices.
3, big data to facilitate our travel
Now, people's travel more and more inseparable from the assistance of big data, the use of electronic maps, first-time visitors can be in the city of rusty free walking; busy day of the office workers can query the fastest way to go home to the traffic method; cab drivers through the voice of the navigation, know the distance ahead of the situation, to prevent traffic jams or speeding violations.
Big data is still a powerful tool to ease traffic pressure, it can guess the future traffic conditions, to improve the traffic situation to provide an optimization program, which helps the traffic department to progress on the journey of the traffic control capabilities, to prevent the easing of the solution to the traffic congestion.
4, the use of big data to improve their
Big data skills can not only improve the efficiency of the use of data, and can realize the reuse of data and reuse, which greatly reduces the cost of transactions, to enhance the development of people's self-potential space.
Drawbacks of big data
1, personal data privacy and security
Big data will record your browsing habits, purchasing habits, commonly used Taobao Alipay and these software people, your spending power, shopping habits, activities and places of origin, income, quality of life, age, height, weight, shoe size, three circumference, Taste, etc., can be analyzed these basically encompass our lives. Personal data security becomes a big issue, once the data is leaked (or bought and sold), it may pose a threat to the user's personal property, the country and the company's security.
2, big data to kill maturity
Killing maturity, that is, the same goods or services, old customers see the price instead than new customers to be much more expensive. In the past two years, including drip travel, Ctrip, Flying Pig, Jingdong, Meituan, Amoy Ticket and many other Internet platforms have been exposed to the suspected existence of the "kill familiar" situation, covering a variety of areas such as online travel, online ticketing, online shopping, transportation, etc., in particular, OTA (Online Travel Agent) online travel platforms The more prominent.
The big data skills themselves can not only be quickly derived from the emerging information industry, but also with cloud computing, the Internet of Things and intelligent engineering skills linkage, supporting a new era of information technology.
The four basic characteristics of big data
1, the amount of data
TB, PB, and even EB and other data volume of data need to be analyzed and processed.
2, the requirements of rapid response
The market is changing rapidly, the requirements of a timely and rapid response to changes, that the data analysis should also be fast, in the performance of higher requirements, so the amount of data appears to be some of the speed of the requirements of the "big".
3, data diversity
Different data sources, unstructured data more and more, the need for cleaning, organizing, screening and other operations, into structured data.
4, low value density
Data may be distorted due to untimely data collection, incomplete data samples, data may be discontinuous, etc., but when the amount of data reaches a certain size, more data can be used to achieve a more realistic and comprehensive feedback.