What is big data used for, and what is big data? What s the use?

Big data refers to a collection of data that cannot be captured, managed, and processed with conventional software tools within a certain time frame. Through a large number of statistics, we can understand everyone's preferences and wants, so as to get what they want, such as precision marketing, credit analysis, consumption analysis, etc.

When you open a web page, it pops up with an advertisement for a product that you personally like - in fact, this is an example of precision marketing using big data.

Which organizations or applications have our "traces"? Tang Xiongyan, chief expert of China Unicom Network Technology Research Institute, said for example, to master your privacy, WeChat knows your social circle, ** understand your shopping habits, the three major operators of China Mobile Telecom Unicom have your call records and Internet records, UnionPay knows that you are using a credit card, and the positioning software knows where you are ...... now

Big data has brought tremendous value to enterprises and businesses, such as reducing the non-performing loan ratio and reducing transaction costs in the field of internet finance. Google leverages big data for seasonal flu outbreaks and spreads. AT&T sells data such as a user's geographic location on a WiFi network, web browsing history, and the apps they use to advertisers.

When a user is close to a merchant, they may receive an e-coupon with a large discount from the merchant, and so on.

But what can the general public, as the producer of big data, gain from the development of big data? The development of big data is related to the tangible interests of the general public, for example, experts believe that the use of big data can effectively achieve "smart healthcare" and serve comprehensive personal health management; Individuals can easily obtain hospital information, examination data, medical images, etc., as well as personal health history data; Provide remote data analysis and services for patients with chronic diseases; Assist in clinical diagnosis and medication decision-making; provide timely statistical analysis to public health agencies; and provide data analysis for drug research and development, and program design. With the development of big data, the life of the general public will also become more convenient.

Big data refers to a collection of data whose content cannot be captured, managed, and processed with conventional software tools in a certain period of time. Big data technology refers to the ability to quickly obtain valuable information from a wide variety of types of data.

In the digital era, Internet operations are inseparable from big data, what is big data? How is it being used?

Big data can be applied to all walks of life to analyze and organize the huge data collected by people to achieve effective use of information. For example, in the case of dairy cows, we can first scan the whole genome of dairy cows, although we have obtained all the phenotypic information and genetic information, but due to the huge amount of data, it is necessary to use big data technology to analyze and compare and mine the main genes. There are many more examples.

In general, big data is the mining of a large amount of data, dynamic and sustainable, through the use of new systems, new tools, and new models, so as to obtain insights and new value. In the past, in the face of huge data, we may be blinded and visible, so we cannot understand the true nature of things, so as to get wrong inferences in scientific work, but with the advent of the era of big data, all the truth will be displayed in front of us.

What is Big Data? In fact, it is very simple, big data is actually a huge amount of data, these huge data ** data generated at any time around the world, in the era of big data, any tiny data may produce incredible value. Big data has 4 characteristics, which are different:

Volume, variety, velocity, and value are generally called 4V.

The so-called 4V specifically refers to the following four points:

1 Mass. In the early MAP3 era, a small MB-level MAP3 could meet the needs of many people, but with the passage of time, the storage unit has changed from GB to TB in the past, and even to the current PB and EB level. With the rapid development of information technology, data has begun to grow explosively.

Social networks (Weibo, Twitter, Facebook), mobile networks, various smart tools, service tools, etc., have all become the best of data. **Nearly 400 million members of the network generate about 20TB of commodity transaction data every day; Facebook's approximately 1 billion users generate more than 300 terabytes of log data every day. There is an urgent need for intelligent algorithms, powerful data processing platforms, and new data processing technologies to count, analyze, and process such large-scale data in real time.

2 Variety. The wide range of data** determines the diversity of big data forms. Any form of data can have a role, and the most widely used system is the recommendation system, such as **, NetEase Cloud**, Toutiao, etc., these platforms will analyze the user's log data, so as to further recommend what the user likes.

Log data is obviously structured data, and there are some data that are not obviously structured, such as **, audio, **, etc., these data have weak causal relationship, so they need to be manually annotated.

Big data. 3 High speed. Big data is generated very quickly and is mainly transmitted via the Internet.

Everyone is inseparable from the Internet in their lives, which means that every day individuals are providing a large amount of information to big data. And these data need to be processed in a timely manner, because it is very cost-effective to spend a lot of capital to store historical data with a small effect, for a platform, maybe the data saved is only within the past few days or a month, and the data that is far away must be cleaned up in time, otherwise the cost is too great. Based on this situation, big data has very strict requirements for processing speed, and a large number of resources in the server are used to process and calculate data, and many platforms need to achieve real-time analysis.

Data is generated all the time, and whoever is faster has an advantage.

The Concept and Role of Big Data:

Concept: Big data, an IT industry term, refers to a collection of data that cannot be captured, managed, and processed by conventional software tools within a certain time frame, and is a massive, high-growth and diversified information asset that requires new processing models to have stronger decision-making, insight and process optimization capabilities.

Function: The processing and analysis of big data is becoming the node of the convergence and application of a new generation of information technology. Mobile Internet, digital home, Internet of Things, social networking, e-commerce, etc. are the application forms of a new generation of information technology, and these applications continue to generate big data.

2.Big data is a new engine for the sustained and rapid growth of the information industry. New technologies, new products, new services, and new business formats for the big data market will continue to emerge.

3.The use of big data will become a key factor in improving core competitiveness. Decision-making in all walks of life is paying more and more attention to the analysis of big data, which can enable retailers to grasp market dynamics in real time and respond quickly.