What is big data?

Content

We often hear the term big data now, but what is the specific big data? Why is there big data? And what is the purpose of big data? It is estimated that most people are not very clear. If you want to understand big data, you have to start with its origin.

Big data overview (what does big data mean?)

Professional explanation: Big data in English is called big data, which is a term in the IT industry. It refers to a collection of data that cannot be captured, managed, and processed with conventional software tools within a certain time frame. It requires a new processing model to be stronger Massive, high growth rate and diversified information assets of decision-making power, insight discovery and process optimization capabilities.

Popular explanation: The popular explanation of big data is massive data. As the name suggests, big means more and broad, and data is information, technology, and data. Together, it means much and broad information, technology, and data.

Big data presentation time

The term "big data" was jointly proposed by Victor Meyer-Schoenberger and Kenneth Kukje in mid-August 2008.

Characteristics of big data

Volume (large), Velocity (high speed), Variety (diversity), Value (low value density), Veracity (authenticity)-proposed by IBM

What is the meaning and purpose of big data?

It seems that big data is a very big feeling, which is far from the life of ordinary people, but it is not! Big data already exists in all corners of our lives. For example, the epidemic situation data we are most concerned about now is the technology of big data, which can check the number of confirmed cases and various epidemic data in real time.

What is the meaning of big data?

From the examples just now, we can basically understand that big data is very important, and its meaning is to help people understand data more intuitively and conveniently. After understanding these data, you can dig deeper into other valuable data, such as products such as Toutiao and Douyin. After sorting and analyzing users, users can judge their favorites based on various data of users, and then Recommend what users like to watch. This not only improves the experience of their own products, but also provides users with the content they need.

What are the uses of big data?

As far as the uses of big data are concerned, it is quite extensive, and knowledge of big data can be applied to basically all walks of life. If it is simply understood, it can be divided into the following four categories:

Use 1: business process optimization

Big data is more to help improve the efficiency of business processes. It is possible to find valuable data information based on and use social network data information, website search and weather forecasts. Among them, the use of big data is commonly used to improve supply chain management and its delivery routes. At these two levels, natural geographic precise positioning and wireless communication frequency identification track goods and deliver large trucks, and use real-time traffic data information to choose better routes. The human resource management business process is also improved based on the analysis of big data, which includes the adjustment of job recruitment.

Use 2: Improve medical treatment and R&D

The computing power of large data analysis applications allows us to decode the entire DNA in a few minutes. New treatment methods can be created. It can also better grasp and predict diseases. Just like everyone wearing smart watches and other data that can be transformed into information, Internet big data can also help patients treat their illnesses as soon as possible. Now big data technology has been used in hospitals to monitor the condition of premature babies and sick babies. By recording and analyzing the baby's heartbeat, the doctor predicts possible symptoms of discomfort. This helps the doctor to better help the baby.

Use three: improve our city

Big data is also used to improve our daily life in the city. For example, according to the city's real-time traffic information, the use of social media seasonal change data information to add new traffic routes. At this stage, many cities have launched new projects for data analysis and demonstration sites.

Purpose 4: Understand customers and meet customer service needs

The use of Internet big data has long been widely known in this industry. The focus is on how to use big data to better understand customers and their interests and behaviors. Companies like to collect social data, browser logs, analyze text and sensor data to get a more comprehensive understanding of customers. Generally speaking, the establishment of a data model is for forecasting.

How to use big data?

Then we have learned so much about big data. Since big data is so good, how do we use big data? Then this will talk about the big data tool BI. A simple understanding of BI is a tool used to analyze big data. From data collection to data analysis and mining, BI needs to be used. BI has emerged abroad and is relatively well-known BI tools include Tableau, Power BI, etc.; and the typical domestic manufacturer is Yixin Huachen. Although BI has emerged abroad, with the advancement of domestic science and technology and continuous innovation in recent years, domestic BI is not technically inferior to foreign countries, and because of the differences at home and abroad, in terms of the logic of BI use, domestic BI is more advanced. Meet the needs of domestic users.