Data Lifecycle Management Definition

In the data center lifecycle, data center operation and Management is the last and longest period in the data center life cycle. Data center operation and Maintenance management is: In order to provide information system services to meet the requirements, and the information system services related to the data center of the various management objects of the planning, organization, coordination and control, is the information system services related to all management work. 　　Data center operation and maintenance management mainly shoulder the following important goals: compliance, availability, economy, service and other four goals. Due to the requirements of the cloud computing flexibility, flexible and rapid expansion, reduce the transport ...

In the data center lifecycle, data center operation and Management is the last and longest period in the data center life cycle. Data center operation and Maintenance management is: In order to provide information system services to meet the requirements, and the information system services related to the data center of the various management objects of the planning, organization, coordination and control, is the information system services related to all management work. 　　 Data center operation and maintenance management mainly shoulder the following important goals: compliance, availability, economy, service and other four goals. ...

Small project managers do not need too much project management knowledge and project management skills training. However, once the scale of the project becomes larger, these formal management processes and skills are essential for project managers. Although different project management methods organize and illustrate these project management processes in different ways, however, we would like to emphasize the most basic of the 10 processes: 1. Define project scope 2. Work plan 3. Managing work Plans 4. Problem Management 5. Scope Management 6. Risk Management 7. Communication Management ...

In the field of telecommunications and it, a complete system consists of various kinds of basic physical resources and software resources, the basic physical resources provide computing, storage, network and other hardware capabilities, and all kinds of software constitute a variety of colorful applications. 　　These applications are developed by different manufacturers, based on different operating system platforms, using different software architectures, with different deployment patterns, the application of diversification will inevitably bring the complexity of software management. The software management described in this paper mainly refers to the lifecycle management of the software in the field, including the release of software, configuration management, distribution and deployment, patch management 、...

1. The introduction of large data production makes data analysis and application more complex, difficult to manage. According to statistics, the amount of data produced in the world over the past 3 years is more than the previous 400 years, including documents, pictures, videos, web pages, e-mail, microblogging and other types, of which only 20% are structured data, 80% is unstructured data. The increase of data makes the data security and privacy protection problem become more and more prominent, all kinds of security incidents to the enterprise and user wake-up alarm. Throughout the data lifecycle, businesses need to comply with stricter security standards and confidentiality rules ...

"Editor's note" This article is reproduced in the public number "Fu Zhihua", the author has been Tencent social networking business Group data center director and Tencent Data Association president.     Before Tencent, he worked in the market consulting, Analysys International, China Internet Association, and served as vice president of Dcci Internet Data Center. The internet industry in the accumulation of large data and applications to Baidu, Tencent and Alibaba is the most noteworthy. Baidu, Tencent and Alibaba in the application of large data although there is a common place, but due to their respective data sources and ...

With the dual drive of information technology and application, the construction, management and operation of data center are constantly being adjusted and improved. Energy efficiency and intelligent management will lead the direction of data center technology and application change. 　　The further integration of it with the data center industry will open up new horizons for the development of the data center industry. April 10, sponsored by the China Computer newspaper, "2014 China Data Center Conference" in Beijing New Century Hotel held. The Annual China Data Center Conference is the seventh session of the Year. The theme of this Congress is "energy efficiency for first management." Editor-in-Chief of China Computer News ...

The topic of large data, from west to east, from the IT industry to government officials, has been on fire for two years, but there is no consistent definition. At present, the industry generally agree with Gartner's description, that is, the "3V" Characteristics of the dataset, is large data. 　　The first one is volume, great data quantity, second is produced, very complex data type and data source, its three is velocity, very high data generation, propagation, and reaction speed. In my opinion, the "data gap" in the large data age of the organization decision makers needs to have a big data war ...

The topic of large data, from west to east, from the IT industry to government officials, has been on fire for two years, but there is no consistent definition. At present, the industry generally agree with Gartner's description, that is, the "3V" Characteristics of the dataset, is large data. 　　The first one is volume, great data quantity, second is produced, very complex data type and data source, its three is velocity, very high data generation, propagation, and reaction speed. In my opinion, the "data gap" in the large data age of the organization decision makers needs to have a big data war ...

Large data is not a patent in the ICT industry. At present, the financial, radio and television and other traditional industries are actively using the power of large data to help enterprises to achieve transformation. In the power industry, large data has been regarded as an important issue at the strategic level of the enterprise: The State Grid has set up three large data centers in Beijing, Shanghai and Shaanxi, of which more than 10,200 sensors have been installed in the large data center of Beijing, which can save a value of about 300,000 yuan per month. So how does the power industry apply big data? In the face of the challenges of the power industry, what are the common features of telecommunications and what are the opportunities for telecommunications? Electricity ...