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How about universities choosing professional software engineering (big data technology direction)?
How to choose the major of university software engineering (big data technology direction)? It is certainly good to learn this major well and find a job, but the problem is that many universities in China are not strict with software courses, and few students can really program. I studied in Wuhan University of Technology for two years before, and there was no coding (the undergraduate teaching in Wuhan University of Technology was not well implemented). Now at Purdue University in the United States, I type the code until the early morning every day. I really feel that the major related to code really needs more practice. I have a domestic classmate who is now a graduate student at Beihou University, majoring in data mining. I heard that this is very popular now, it is good to find a job, and Beihou University is very strict. That classmate also codes on this computer every day.

So the conclusion is, if you enter this major, if you do code every day, I believe you will have a good job in the future.

Which prospect is better for universities to choose virtual reality, big data, software engineering and network security? Each has its own advantages. I prefer virtual reality. Because the market in this area is relatively empty at present. The development potential is greater.

What about the software engineering major of Hubei Normal University? Software engineering (the direction of enterprise application technology) has always been a good major. The professional core courses of the College of Computer Science and Technology include: Java programming (advanced foundation), web application development based on Java technology, database design and application, Web interface design, software engineering and configuration management, and network data transmission and analysis.

Does big data privacy protection password technology belong to software engineering? Hello! Privacy protection cryptography of big data belongs to software engineering and cryptography.

Big data is a kind of data collection with large amount of information and high value. In order to prevent big data mining from revealing users' privacy, it is necessary to protect big data. Due to the huge amount of data, complex structure and fast processing speed, many traditional technologies for protecting data privacy are no longer applicable.

From the point of view of cryptography, this paper summarizes the research progress of privacy protection technology suitable for big data in recent years. Aiming at the three important aspects of big data storage, search and computing, this paper expounds the research background and main research directions of big data privacy protection respectively, and introduces the latest research progress of related technologies in detail. Finally, some important research directions of privacy protection of big data in the future are pointed out.

University software engineering major should be divided into two directions: big data and Internet. Which one should I choose? Which is easier to find a job after graduation? In fact, for these two majors, we only talk about some theoretical knowledge in general, and we should apply a complete system such as operating system and database in actual operation.

So which major you study has little influence on your future job search. Your future job may not be software engineering or the Internet.

Solution: What is the relationship between big data and software engineering? This question is very interesting:

Dealing with big data now is indeed an engineering problem, which belongs to the combination of various software, business fields, domain experts and business processes, so realizing any aspect of big data (storage, analysis, etc.) is a complex engineering problem. ), and it must be software engineering!

What is Big Data Software Engineering Normal University data? It refers to a collection of data that cannot be captured, managed and processed by conventional software tools in a certain period of time. It is a massive, high-growth and diversified information asset, which needs a new processing mode to have stronger decision-making power, insight and discovery ability and process optimization ability.

Big data engineer is a career based on big data.

How about Big Data Technology Summit 20 15? Hello, I'm glad to answer your question.

Are you talking about "WOT20 15"?

This meeting was held on 2015165438+128-29 October in JW Marriott Hotel, Shenzhen Qianhai Overseas Chinese Town.

Participants in this meeting are all from relevant leaders or entrepreneurs of well-known enterprises at home and abroad, as follows:

Liang Yuling

Google/Senior Android Architect

Julia

Gold partner

Kong Deliang

Director of 360 Cloud Division

plum

Director of Flyme internet R&D

Liu shangkun

Director JD.COM/Technical.

Yi Qu

Technical Director of Le Bee Network

Cheng Xianfeng

Chief operating officer of OneAPM

Wait, I won't list them one by one here. The details can be seen by activists.

Generally speaking, it is still an authoritative and formal business meeting with high gold content.

In addition, I wish you a smooth participation, and you can get what you want through the meeting.

The relationship between big data and software engineering is briefly described. With the popularity of the Internet, big data came into being. Big data and the cloud are inseparable. Data storage, data classification, data mining, data analysis, how to analyze and process a pile of data stored in hard disk, memory and server and turn it into something that can bring us practical benefits, or something that can actually be useful, is the solution of big data. In fact, the current cloud is a double-edged sword (forget it, it hurts. . . Endless), big data has been restricted, but the arrival of the cloud era and big data is a matter of time, and there has been a considerable trend in the past two years. Then the image of big data to software engineering is nothing more than the exhibition direction and data security issues. How to prevent data loss and theft, and how IT technology stores and analyzes big data are hot spots and inevitable trends in software engineering. Do a good job in data analysis and data mining, and you really don't have to worry about money in the future.

What is the major of software engineering in Universities of Applied Sciences? Software engineering was added by the Ministry of Education in 2002. With the continuous expansion of computer application and the continuous development of China's economic construction, software engineering specialty will become a new hot specialty. Software engineering specialty is based on computer science and technology, and emphasizes the engineering nature of software development, so that students can master the basic knowledge, methods and skills necessary for software requirements analysis, software design, software testing, software maintenance and software project management on the basis of computer science and technology knowledge and skills, highlight the cultivation of students' professional knowledge and skills, and cultivate senior professionals who can engage in software development, testing, maintenance and software project management.