Professional explanation: big data is an IT industry term for a collection of data that cannot be captured, managed and processed within a certain timeframe using conventional software tools, and is a massive, high-growth, and diverse information asset that requires new processing modes for stronger decision-making, insight discovery, and process optimization capabilities.

Common explanation: big data is commonly explained as a huge amount of data, as the name suggests, big is the meaning of more and more extensive, and data is information, technology, and data data, together is more and more extensive information, technology, and data.

Big Data: When it was coined

The term "Big Data" was coined in mid-August 2008 by Viktor Mayer Sch?nberg and Kenneth Kukier.

Characteristics of Big Data

Volume, Velocity, Variety, Value, Veracity - coined by IBM.

What is the significance and use of the existence of Big Data?

It may seem that Big Data is a very high-flying feeling and far from our common life, but it is not! Big data currently exists in various corners of our lives, for example, we are now most concerned about the epidemic situation data, using the technology of big data, you can real-time view of the number of diagnosed as well as a variety of epidemic data.

What is the significance of big data?

From the examples we have just given, we can basically understand that big data is very important, and the significance of its existence is simply to help people understand the data more intuitively and conveniently. And through the understanding of these data can be deeper to dig other valuable data, such as today's headlines/shaking voice and other products, through the user to organize and analyze, and then according to the user's various data to determine the user's favorite, and then recommend the user likes to see things, this not only enhances their own product experience, but also provides users with the content they need.

What are the uses of big data?

To say that the uses of big data can be quite extensive, basically all walks of life can use the knowledge of big data. If simply understood, it can be divided into the following four categories:

Use 1: Business Process Optimization

Big data is more to assist in the efficiency of business processes. It can be used to identify valuable data based on social networking information, website searches, and weather forecasts, with the most common use of big data being supply chain management and the enhancement of delivery routes. At both levels, natural geo-precision positioning and radio frequency identification are used to track goods and delivery trucks, and real-time traffic route data information is used to select better routes. Human resource management business processes are also improved based on the analysis of big data, which includes the adjustment of job recruitment.

Use 2: Improving healthcare and R&D

The computational power of big data analytics applications allows us to decode an entire dna in a matter of minutes. new treatments can be created. It also allows for a better understanding and prediction of diseases. As with everyone wearing smartwatches and other data information that can be transformed into, big data on the Internet can also assist patients in curing their ailments as quickly as possible. Big data technology is now being used in hospitals to monitor the condition of premature and sick babies. By recording and analyzing the baby's heartbeat, doctors predict possible symptoms of discomfort. This helps doctors to better help the baby.

Use 3: Improving our cities

Big data is also being used to improve our lives in cities. For example, based on the city's real-time traffic road information, the use of social media seasonal changes in data information to add new transportation routes. At this stage, many cities are already carrying out data analysis and demonstration sites for new projects.

Use 4: Understanding customers and meeting customer service needs

The use of big data on the Internet has long been widely known in this industry. The focus is on how to use big data to get a better handle on customers and their interests and behaviors. Businesses are very much into collecting social data, browser logs, analyzing text and sensor data to get a more complete picture of their customers. Generally, data models are built to predict.

How do you utilize big data?

So we've learned so much about big data, how do we utilize it since it's so good? That this is to talk about the tools of big data BI, BI is simply understood as a tool used to analyze big data, from data collection to data analysis and mining, etc. need to use BI, BI emerged in foreign countries, the more well-known BI tools are Tableau, Power BI, etc.; and more typical of the domestic manufacturers is the Yixin Huachen. Although BI emerged in foreign countries, but these years with the progress of domestic science and technology as well as continuous innovation, the current domestic BI technology is not worse than the foreign ones, and because of the domestic and foreign differences in the use of BI logic, the domestic BI is more in line with the needs of domestic users.

I hope you can help! ~