What is the main learning of big data? What big data learns

1. Data collection2. Intelligent analysis of big data.

3. Big data information mining.

What is the employment direction of big data technology?

1.Internet e-commerce direction.

As the hottest outlet at present, Internet e-commerce is the place where the Internet field is used in the most practice, and it is also the part with the largest demand for talents. Graduates majoring in big data technology and application can be engaged in Internet e-commerce operation and maintenance, daily management, consumer big data analysis, financial data risk control management and other related technical work. At present, from the head e-commerce platforms that have been listed to the community e-commerce, the gap of these technical talents is relatively large.

2.Retail Finance.

Although retail finance and Internet e-commerce both belong to the field of consumption, specifically, the scope of retail e-commerce is smaller than that of Internet e-commerce, and it is more necessary to accurately connect with consumer groups and consumer groups' hobbies, incomes and other characteristics than Internet e-commerce. Graduates of Big Data Technology and Application can work in computer-based, etc. development and other work.

It is suitable for undertaking related technical services in retail financial enterprises, and can also be engaged in computer application work in the IT field.

First, the direction of e-commerce professional work.

1. The e-commerce major cultivates professionals who have the knowledge and basic skills of management, economics, law and network technology, e-commerce technology and e-commerce management, and can be engaged in actual business management, planning, research, consulting, and research in various enterprises, institutions, financial institutions and departments.

2. After graduating from the e-commerce major, you can be engaged in the background operation of the bank (network operation), the web design, construction and maintenance of enterprises and institutions, or the maintenance of the network, the content of the network and network marketing (including international), the marketing planning of enterprise goods and services, etc., junior college students (taking the e-commerce major of Shandong Commercial Vocational College as an example), graduates are mainly engaged in network marketing, network customer service, e-commerce project operation and other aspects of the work.

2. Employment options.

1. E-commerce students have innate advantages in the use of the Internet, and the disadvantage may be the knowledge of consumer psychology and consumer behavior. There are many positions related to marketing, such as sales, customer service, promotion, public relations, and business.

2. Secondly, if you pass the English level, you can go to foreign trade, which is the direction of international e-commerce.

3. If the technology is passed, you are familiar with hardware and software, and you are proficient in a development technology, and you can apply for the corresponding technical position. Or go to the IT and Internet industries to apply for sales and service, which requires an understanding of technology, which is not something that ordinary marketing students can do at once.

4. Female students can consider applying for administrative positions, such as general clerks, secretaries, assistants, etc., and e-commerce students are competitive enough, because they are easier to adapt to office automation and informatization. It doesn't have to be a secretarial major.

5. Start your own business, depending on your personal situation. Nowadays, it is easy to open a store online, as long as there is something to sell, you can try it, instead of having to register with the industrial and commercial department first, as is traditionally the case. No taxes and no rent.

It's easy to be an online business. The key to the problem is to find a position to enter the company, and personally understand what business is all about, what the enterprise is all about, and no matter what the position is, only when the performance in the company confirms that e-commerce students do have advantages and differences over students of other majors, the enterprise and the entire job market will slowly form a good impression on e-commerce students. Otherwise, it will be more difficult for e-commerce students to find employment in the back.

In fact, any profession is a term, and the process of learning is to cultivate people's ability and quality. If the comprehensive quality is sufficient, I believe that the company will be discerning. What I'm most afraid of is that I can't do anything, and I still have a popular major mentally.

Then you will make yourself miserable.

Big data analysis, mining and processing, mobile development and architecture, software development, cloud computing and other cutting-edge technologies.

Big data mainly focuses on cutting-edge technologies such as big data analysis, mining and processing, mobile development and architecture, software development, and cloud computing.

Big data, or big data, refers to the amount of data involved that is so large that it cannot be captured, managed, processed, and organized into more positive business decisions through mainstream software tools in a reasonable time.

Big data technology is an interdisciplinary discipline: statistics, mathematics, and computer science are the three supporting disciplines; Biology, medicine, environmental science, economics, sociology, and management are applied and expanded disciplines. The regiment is annihilated.

In addition, it is also necessary to learn data collection, analysis, processing software, mathematical modeling software and computer programming languages, etc., and the knowledge structure is a cross-border talent with two specialties and multiple abilities (professional knowledge and data thinking). Because big data is involved. There is a lot of content, and big data technology is also closely related to the industry, so when learning big data, you can learn big data from a technical point of view or based on the industry.

For students, they can learn from the big data technology system, while for professionals, they can learn big data in combination with their own industries and job tasks.

Gartner, a research institute for "big data", gives this definition. "Big data" is a new processing paradigm that requires greater decision-making, insight and process optimization capabilities to adapt to massive, high-growth and diverse information assets.

The definition given by the McKinsey Global Institute is: a kind of data collection that is large enough to exceed the capabilities of traditional database software tools in terms of acquisition, storage, management, and analysis, and has four characteristics: massive data scale, fast data flow, diverse data types, and low value density. [3]

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". 4]

From a technical point of view, the relationship between big data and cloud computing is as inseparable as the heads and tails of the same coin. Big data cannot necessarily be processed by a single computer, and must adopt a distributed architecture. It features distributed data mining of massive amounts of data.

But it must rely on the distributed processing, distributed databases and cloud storage, and virtualization technologies of cloud computing. [1]

With the advent of the cloud era, big data has also attracted more and more attention. According to the analyst team, big data is often used to describe the large amount of unstructured and semi-structured data created by a company, which takes too much time and money when used for analysis in a relational database. Big data analytics is often associated with cloud computing, because real-time analysis of large datasets requires a framework like MapReduce.

Ten, hundreds, or even thousands, of computers assign work. Tall and thick.

Big data requires special technologies to efficiently process large amounts of data that tolerate elapsed time. Technologies for big data, including massively parallel processing (MPP) databases, data mining, distributed file systems, distributed databases, cloud computing platforms, the Internet, and scalable storage systems.