大数据中心综合运营部(综合交通大数据中心)

As the big data industry has ushered in a golden period of development, more and more Internet companies have transformed into big data companies. In order to promote the healthy development of big data companies and solve the problems encountered in development, starting from the concept and business content of big data companies, we analyze that big data companies have complex businesses that are different from traditional enterprises, and they continue to encounter new technologies in their development. problems and the need to build internal controls. Based on the business characteristics and emerging problems of big data companies, it is believed that elements such as internal control environment, risk control and internal control supervision, information and communication are the focus of the company's internal control. Enterprise development strategies and integrity that are suitable for the characteristics of big data companies should be constructed. Ecosystem and cultural concepts, human resource strategies capable of big data business, real-time risk prevention and control and supervision systems and other internal control strategies. [1]
The concept of big data
In the book "The Impact of Big Data", big data is popularly defined as "a collection of large amounts of data that is difficult to manage with existing general technologies" and is defined broadly. "Big data is a comprehensive concept that includes data that is difficult to manage due to its large, high-speed, and diverse characteristics, technologies for storing, processing, and analyzing these data, and the ability to obtain practical meanings and perspectives by analyzing these data Talents and organizations. Therefore, the concept of big data not only refers to large-scale data objects, but also includes the processing and application activities of these data objects. It is the unity of data objects, technology and applications. [1]
The concept and business scope of big data companies
Big data companies usually refer to companies that have the ability to obtain big data. Companies that already have the ability to obtain big data are data-based big data companies, such as Baidu, Tencent, and Alibaba Internet giants such as Huawei, Inspur, ZTE and other domestic companies, such big data companies are usually closely related to people's daily lives, covering fields such as data collection, data storage, data analysis, data visualization and data security.
The business scope of big data companies mainly involves: first, big data companies that provide personalized recommendation engines for e-commerce companies, including recommendation engines, analysis engines, marketing engines, etc., covering the implementation path of the entire big data industry chain. Second, big data companies Data analysis technology providers provide data analysis results to enterprises or government departments. Such companies can completely realize the collection, analysis, and processing of big data, and provide high-end information technology for major enterprises. The third is to provide big data for traditional enterprises A big data company that builds technology platforms and big data-driven SaaS applications, integrates high-performance computing and storage capabilities, provides a professional and stable IT infrastructure platform for big data mining and analysis, and achieves unified management of big data storage, which can help enterprises Accurately predict and construct user characteristics, and build a user-centered big data operation system.
It can be seen that big data companies have complex businesses that are different from traditional enterprises, and they need to build internal controls.[1]

Huawei Cloud BU Data Center Operations Department is the core organization of Huawei Cloud. The department is located in the Paris district of Huawei European Town. The department's mission is to be responsible for building the competitiveness of Huawei Cloud's "digital base" and supporting Huawei Cloud. Achieve the top 5 global public clouds
The main responsibilities of Huawei Cloud Operations Department include the following:
The first is to provide credible, stable, and efficient data through big data, AI, predictive maintenance, etc. Center infrastructure services; at the same time, it completes tasks related to data center and network resource scheduling through automated methods such as data mining and AI algorithms;
Secondly, it links computer room facilities, IT equipment and cloud platforms to achieve the ultimate in resources. purpose of use.

Work overtime according to work needs
Telecom Intelligent Cloud Network Business Operation Center Job Description
1. Responsible for real-time production of China Telecom Cloud Network operations Command and Control.
2. Responsible for the 24/7 monitoring and maintenance of China Telecom's cloud network infrastructure (IP, transmission, cloud, IDC, etc.), DNS platform and important operation support systems, and responsible for the management of Internet applications, government-enterprise cloud network integration and other businesses End-to-end operational assurance, responsible for daily monitoring and handling of security incidents in telecom backbone cloud networks.
3. Responsible for developing intelligent operation and maintenance tools based on big data and AI to improve the digital level of cloud network operations. Responsible for using Python and other programming projects to carry out operational development and improve cloud network automated operation and maintenance capabilities.
4. Complete other tasks assigned by leaders.