If you want to open a cloud computing, big data, and intelligent manufacturing company, what should

Business scope: Internet data services; development, transfer and consulting services of computer software and hardware and network technology, electronic information and information technology processing, system integration, and communication technology; computer and auxiliary equipment repair; computer and office equipment maintenance; sales of computers, software and ancillary equipment; big data services; Data processing and storage services.

The ways to use cloud computing and big data to help enterprises achieve intelligent manufacturing are as follows:

After using information technology and Internet of Things technology, product failures can be clarified through real-time perception data, and all factors in the production process can be accurately controlled, so as to truly realize intelligent production. Therefore, big data directly determines the "intelligence level of intelligent equipment required by industry." In this regard, the "equipment management suite" in the MES intelligent manufacturing management solution of Yiyun Technology can be used as a good reference.

The levels involved include equipment asset management, equipment maintenance management, equipment preventive maintenance management, statistical analysis of equipment operation performance, equipment OEE utilization rate analysis, etc., and monitor equipment operation status and operation performance through real-time kanban; Use intelligent terminal prompts, early warning of repair and maintenance operations, and make statistical analysis and evaluation of equipment use performance.

By using big data to monitor all equipment production processes, it is possible to continuously optimize and reduce production energy consumption in real time during the production process.

operating e-commerce; network technology development; sales of computer peripherals and electronic products; Domestic**; Operate import and export business.; Business scope of network technology company: network technology development; computer software and hardware technology research and development and technology promotion; computer system services; network technology services;

Wholesale and consignment of computer hardware and software and auxiliary equipment, office equipment, audio equipment, and lighting equipment; Computer network engineering, intelligent system engineering design and construction. (If the above business scope involves licensed business projects, it can only be operated after obtaining the permission of the relevant departments).

The business scope of the network technology company is the research and development, design, production, promotion and promotion of Internet software and hardware; Advertising design, production, and outdoor advertising with its own; Network equipment installation (projects subject to approval in accordance with the law can only be carried out after approval by relevant departments).

The business scope of the network technology company is computer network integration system, wireless network system, mobile phone intelligent software, communication technology, technology development, technology transfer, technical consulting, technical services, financial consulting, business information consulting, enterprise information consulting, marketing planning, wholesale;

Daily necessities, shoes, hats and clothing, toys, skin care products, arts and crafts, stationery, sporting goods, office supplies, photographic equipment, audio equipment and equipment, electronic products. (For projects subject to approval in accordance with the law, business activities can only be carried out after approval by relevant departments).

A1The business scope of the network technology company includes computer network engineering, software development and maintenance, game development, system integration, network engineering, web page production, e-commerce, communication system development and integration, automation control system development and integration, automation engineering, software sales, technical support, technical services, technical training, etc.

2.Legal basis: Article 12 of the Company Law of the People's Republic of China The business scope of the company shall be stipulated in the articles of association of the company and shall be registered in accordance with the law. The company may amend its articles of association and change its business scope, but it shall go through the registration of the change.

3.The company's business scope is subject to approval in accordance with laws and administrative regulations, and shall be approved in accordance with the law.

Mainly: 1. Production of lithium-ion power battery packs for electric vehicles; research and development of electric vehicle battery packs and energy storage battery systems; sales of self-produced products; technical consultation and technical services for the above products; Import and export of goods, import and export of technology, import and export of **. 2. General business items:

development, production, sales and maintenance services of tax control cash registers, bank-tax all-in-one machines, microcomputers and accessories, computer peripherals, electronic products, intelligent instruments and smart card equipment; computer software development, network system integration, technical services, technology transfer; circuit board processing; Import and export of goods, import and export of technology, and international services** (except for those restricted by laws and administrative regulations and regulations of the Ministry of Commerce that do not require filing and registration). 3. Sales and research and development of automated production line equipment, technical consulting services for process technology; system integration technology development and application, equipment assembly and integrated sales; Engaged in the import and export of goods and the import and export of technology to foreign business; Metal structural parts, metal products, mechanical and electrical products, electrical machinery and equipment, electronic products, power equipment, electrical equipment, security equipment, lighting equipment, instrumentation, building materials, plastic products, electric heating products, glass products, doors and windows, hardware product development, production, sales, installation, technology transfer and technical consulting services.

The business scope of a network technology company is to use things like the Internet.

Software design and development, game development, system integration, network engineering, enterprise informatization, design and development, web page production, e-commerce, communication system development and integration, automation control system development and integration, automation engineering, software sales, technical support, technical services, technical training.

This is just like the Yiyun Technology Mes intelligent manufacturing management solution used by many manufacturing enterprises is based on cloud computing technologies such as industrial manufacturing cloud services and industrial big data analysis, and realizes the "interconnection" and "perception" between people, machines, materials, and rings through Internet of Things technologies such as machine networking, RFID, and smart wearable devices, and tailors "transparent production, digital workshop, and intelligent factory" for customers to reduce manual intervention. In this way, the overall collaboration efficiency of Zhaogao factory facilities can be improved, and the product quality consistency can be improved.

Big data interview resume, these must:

1. Project experience: A project that is completed outside of the course and is most illustrative. Because if you're willing to spend your free time completing projects that show a person's passion for data science, the completion of extracurricular projects can show your abilities to a certain extent.

Teamwork: It's important to show the team project and the results achieved, and it's best to quantify the role you play in the team.

3. Programming level:Where possible, the ** written should be displayed to ensure that the coding is well documented. There are detailed and meaningful annotations, including what is being done, why it needs to be written this way, and so on.

4. Mathematical and statistical background:Interviewers are highly interested in interviewers who have a strong foundation in mathematics and statistics, and this skill can be compared to the projects they have done.

A resume can generally be divided into four parts, of which:

Part 1: For the basic personal information, you should list your name, gender, age, place of origin, political outlook, school, department and major, marital status, health status, height, hobbies and interests, home address, ** number, etc.

Part 2: Educational qualifications. It should indicate the study in such and such a school, a certain major or a subject, and the beginning and end periods, and list the main courses and academic achievements, the positions held in the school and class, and the various awards and honors obtained during the school period.

Part 3: Work qualifications. If you have work experience, it is advisable to list it in detail, starting with the most recent information, followed by a detailed description of the employer, date, position and nature of work.

Part 4: Job Hunting. That is, the job search goal or personal desired job position, indicating what kind of job type and position you hope to get through the job search, as well as your goals, can be written together with personal strengths.

In 2006, Eric Schmidt, CEO of Google, officially proposed the new IT technology concept of "cloud computing" to the world for the first time at the search engine strategy conference. Seven or eight years have passed, Google is an Internet company, not a hardware or software company in the traditional sense, and it provides the world with network services based on cloud computing platforms, rather than helping customers build cloud computing platforms. As a result, we have seen that in recent years, the loudest slogan of cloud computing in the market has been shouted by some traditional hardware and software companies.

For their own interests, these traditional IT companies are unlikely to give up the traditional hardware and software business for a long time, and they have implanted a large number of ideas into the concept of cloud computing that are conducive to maintaining traditional business, and these ideas may lead to cloud computing to deviate from the original development direction. This is also the reason why the current concept of cloud computing is misunderstood and even disliked by the world.

Although it has been controversial, after several years of development, cloud computing has become the most mainstream IT system architecture model. Most Internet companies have built cloud-based business platforms, and the vast majority of multinational companies already have or are building their own cloud computing platforms.

In the past two years, cloud computing has gradually returned to rationality, and the industry and academia are rethinking and investigating its technical and business forms, and the arrival of the big data era, which is very closely related to cloud computing, has given people the opportunity to look at cloud computing with a more rational and comprehensive vision.

Big data is the most important scientific and technological means in the "fourth paradigm" of human scientific discovery. Big data has a clear technical route and application direction from the beginning of its appearance, so it is relatively easy for people to understand and accept. Because big data can often be associated with existing business systems, directly improving business efficiency and improving enterprise benefits, big data has become one of the hottest keywords at present.

The utilization of the business value of big data, such as data warehousing, data security, data analysis, and data mining, has gradually become the focus of profit sought after by the entire market.

Include! Information transmission and processing are required, and industrial big data is cloud-based.

Big data is a new topic brought about by the explosive growth of data, how to store the massive data generated in today's Internet era, how to effectively use and analyze these data, and so on.

You can understand the relationship between the two in this way, cloud computing technology is a container, big data is the water stored in this container, and big data relies on cloud computing technology for storage and computing.

The conceptual difference between big data and cloud computing.

Big data is an application scenario in the context of mobile Internet and Internet of Things, where the huge amount of data generated by various applications needs to be processed and analyzed to mine valuable information; Cloud computing is a technical solution, that is, the use of this technology can solve the needs of a series of IT infrastructure such as computing, storage, databases, etc., which are not the same level.

The relationship between big data and cloud computing: There is a very close relationship between the two, big data is a very important application scenario of cloud computing, and cloud computing provides the best technical solutions for big data processing and data mining.

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 distribute work, and big data requires special techniques to efficiently process large amounts of data that tolerate elapsed time.

Technologies suitable for big data, including massively parallel processing (MPP) databases, data mining power grids, distributed file systems, distributed databases, cloud computing platforms, the Internet and scalable storage systems, big data refers to massive data processing per day above the petabyte level, generally used for mining, analysis, and doing some intelligent business sectors.

Big data is inevitably related to cloud computing (big data and cloud computing are not necessarily related, you want to do big data, you can use cloud computing, or not), data center is the foundation of cloud computing, from a technical point of view, the relationship between big data and cloud computing is as inseparable as the positive and negative sides of a coin, big data must not be processed by a single computer, and a distributed architecture must be adopted.

It is characterized by distributed data mining of massive data, but it must rely on the distributed processing, distributed database and cloud storage, and virtualization technology of cloud computing.

Many people can't tell what cloud computing and big data can do, so what is the relationship between cloud computing and big data? Today, I will give you a brief analysis.

Cloud computing: Cloud computing provides computing power and storage services for global users through the Internet, and provides hardware foundation for Internet information processing. Cloud computing, simply put, is to put the hard disk and CPU on your own computer or the company's server on the Internet, and call it dynamically in a unified manner.

Big data: Big data uses increasingly mature cloud computing technology to obtain valuable information from the vast Internet information ocean for information induction, retrieval and integration, and provides a software foundation for Internet information processing. Big data, to put it simply, is to put all the data together to analyze, find the association, and achieve the best.

All of the data here corresponds to some of the data from previous sample surveys.

The relationship between cloud computing and big data:

Cloud computing is the foundation, and without cloud computing, big data storage and computing cannot be realized. Big data is an application, and without big data, cloud computing lacks purpose and value. Both require the participation of artificial intelligence, which is a commercial application of the Internet information system in an orderly manner.

This is the real export of cloud computing and big data!

And where does the intelligence in business intelligence come from? One of the ways is to process a large amount of data through the tool of big data, so as to draw some correlation conclusions, and get answers from these correlations, so big data is a tool for business intelligence. And big data to analyze a large amount of data, which is very high for the system's computing power and processing power requirements, the traditional way is to need a supercomputer to process, but this leads to the problem that the computing power is idle when it is idle and busy when it is not enough, and the elastic expansion and horizontal expansion mode of cloud computing is very suitable for computing power to be called on demand, therefore, cloud computing provides a material basis for big data such as computing power and resources.