What is big data for?

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.

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.

Item recommendation: Movies**, ****, e-commerce**, these** will analyze your browsing behavior and recommend corresponding items to you according to your interests, such as iQiyi, QQ**, Jingdong, etc.

Advertising calculation: The better applications are, Google, **, Tencent, they have to calculate the ranking of advertisements according to the advertiser's ** and the effect of the advertisement, so as to achieve the best monetization effect in the traffic, at this time, the processing speed of the data and the magnitude of the data directly affect their income.

Finance: Banks are using big data to analyze users' consumption behavior, purchasing power, and repayment ability, which can be used to reduce the risk of loans provided to users and reduce the environmental debt ratio.

Credit: Alipay's Sesame Credit adds more dimensions, such as your interpersonal relationships, education, car and other elements to evaluate your credit value, and provide better services to people with high credit value, such as staying in a hotel with high credit without paying a deposit.

Data analysis: There are not many representative products, but it is indeed a very important scenario for big data applications, which are generally customized within the company, so they are generally not public, but they are indeed used by various companies, such as the traffic analysis of **, the user characteristics analysis of related products, and the semantic analysis of Weibo. These analyses can be used to inform decisions about the direction of your business or product development.

Smart city: This is now a more representative function is to control the brightness of street lights according to the **, which can achieve the effect of power saving. Reduce road congestion by controlling traffic light changes through traffic flow.

It is the application of big data processing technology that makes the above aspects have a better development, if there is no big data processing technology, it may be because of too much data can not be processed, or can not be processed at all. That will naturally lead to the development of some businesses falling behind or not being able to carry out at all. Of course, in addition to big data, there are also the Internet of Things, artificial intelligence, and so on.

The outlook is promising.

Big data is mainly to sort out and analyze a lot of data, so as to discover the laws of things, and then return to various business interests. It's a popular major. Hope.

Big data is widely used in the market, it will be involved in many fields, mainly used to meet customer needs, improve work efficiency, and at the same time through the application of big data can be the first customer loss, product sales, etc.

Summary. 1. Planning and construction of big data platform; 2. Responsible for the design, R&D, maintenance and optimization of big data storage systems, distributed computing systems, mining algorithms, etc.; 3. Responsible for analyzing, excavating, and combating malicious behaviors at the security level of various products; 4. Participate in the system design and core development of the project, guide and train other engineers; 5. Organize and submit technical documents, and be responsible for the preparation and testing of core functional modules.

What is big data for?

Big data is the staff responsible for the technical development of the big data platform. Its responsibilities include: planning and building a big data platform; Responsible for the design, R&D, maintenance and optimization of big data storage systems, distributed computing systems, mining algorithms, etc.; Responsible for analyzing, mining, and combating malicious behaviors at various product security levels.

1. Planning and construction of big data platform; 2. Responsible for the design, R&D, maintenance and optimization of big data storage systems, distributed computing systems, mining algorithms, etc.; 3. Responsible for analyzing, excavating, and combating malicious behaviors at the security level of various products; 4. Participate in the system design and core development of the project, guide and train other engineers; 5. Organize and submit technical documents, and be responsible for the preparation and testing of core functional modules.

It belongs to the computer science major.

The technical level is high, and the salary is high every month.

Eat young meals. Do you have any questions?

What do you do in digital technology, big data, and artificial intelligence?

Big data refers to the 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.

The strategic significance of big data technology is not to grasp the huge amount of data information, but to professionalize the processing of this meaningful data. In other words, if big data is compared to an industry, then the key to the profitability of this industry lies in improving the "processing ability" of data and realizing the "value-added" of data through "processing".

Main tasks:

Big data collection (crawler), big data cleaning (ETL engineer), big data modeling (algorithm engineer) and big data analysis (data analyst);

management, analysis, presentation and application technology (big data development engineer);

Research and application of big data platform architecture, technology and standards;

Design, develop, integrate, and test big data software and hardware systems;

Manage, maintain and ensure the stable operation of big data systems;

Monitor, manage, and secure big data;

Provide technical consulting and technical services for big data.

Hello, I am Ruyi, a workplace mentor. Big data refers to a massive collection of data involving many types of data. The main purpose of big data is to obtain valuable information through data analysis and mining, and help enterprises and institutions make correct decisions and strategic planning.

Big data technology has been widely used in various fields, such as finance, medical care, e-commerce, etc., making these industries more intelligent, simplified and effective. At the same time, big data has also given rise to new professions, such as data analysts, data scientists, etc. Doing big data analysis well requires certain skills and tools, such as programming languages such as Python and R, and machine learning algorithms.

Through the processing, analysis and mining of big data, we can discover the valuable information hidden behind the data, and provide enterprises with a better basis for economic decision-making, making them more competitive and innovative. The application of big data is very extensive, such as in the financial field can be used for risk assessment, credit evaluation, etc., in the field of health care, drug research and development, etc., in the retail industry, it can be used in sales, chain management, etc., in the field of transportation, it can be used in traffic flow, road condition monitoring, etc., and social media can be used for public opinion analysis, user portraits, etc. The processing of big data consists of four stages:

Data acquisition, data processing, data analysis, and data mining. Data collection collects data from different data sources through various means, data processing cleans and standardizes big data, data analysis analyzes data through various algorithms, and data mining extracts useful information and patterns hidden in data from massive data, and finally draws insights and conclusions.

What is big data for: Big data refers to those data with a particularly large amount of data and a particularly complex data category, which cannot be stored, managed and processed by traditional databases, and is a massive, high-growth rate and diversified information assets that require new processing models to have more powerful decision-making, insight and process optimization capabilities. Extended data big data refers to data that exceeds the processing capacity of the traditional database system of the University of Cavity.

In life, many aspects of work will draw conclusions from big data, and there is a lot of information that is difficult to obtain by other methods, and it becomes clear at a glance by analyzing the data. For example, a large part of the value they provide comes from their data, which they are constantly analyzing to improve efficiency and develop new products.