Wind - a leading provider of financial data and analysis tool services

Wind - a leading provider of financial data and analysis tool services

Wande Information Technology Co., Ltd. (hereinafter referred to as Wind) is a leading financial software service enterprise in Chinese Mainland, headquartered in Lujiazui Financial Center, Shanghai. Wind is a leading player in the domestic financial information service industry and an indispensable partner for numerous securities companies, fund management companies, insurance companies, banks, investment companies, media and other institutions; In the international market, Wind has also been favored by numerous Qualified Foreign Institutional Investors (QFII) approved by the China Securities Regulatory Commission. In addition, well-known financial academic research institutions and authoritative regulatory agencies are also customers of Wind; Authoritative Chinese and English media, research reports, and academic papers often cite data provided by Wind. In the field of financial and economic data, Wind has built a large-scale financial engineering and financial data warehouse in China that is complete and accurate, with financial securities data as the core. Wind's data content covers fields such as stocks, bonds, funds, foreign exchange, financial derivatives, commodities, macroeconomics, and financial news; Wind meets the needs of institutional investors by timely updating data. Wind has developed a series of professional analysis software and application tools around information retrieval, data extraction and analysis, and investment portfolio management applications to meet the needs of different clients in the financial industry, including investment institutions, research institutions, academic institutions, and regulatory departments. Through these terminal tools, users can obtain timely, accurate, and complete financial data, information, and various analysis results from Wind 7x24x365. Starting from data, Wind closely follows the ever-changing changes in the financial market, constantly expanding into new fields and providing customers with faster, broader, and deeper data and information services. Proficient in data and sharing the value of data, Wind's vision is to be a global enterprise that makes data easily accessible.

Reading: 91 2019-03-26

Operations and Maintenance Team - Linux Operations and Maintenance Technology Community, Linux Tutorial, Cloud Computing Learning Platform, DevOps Tool Download Site

Operations and Maintenance Team - Linux Operations and Maintenance Technology Community, Linux Tutorial, Cloud Computing Learning Platform, DevOps Tool Download Site

Established in 2015, Operation and Maintenance Pai is the earliest IT operation and maintenance technology community in China. It specializes in Linux cloud computing learning tutorials, devops tool download sites, and is committed to creating a good learning and communication platform for engineers in the field of operation and maintenance. Deeply analyze the dynamics within the domestic operations and maintenance industry, share excellent practices such as DevOps, automated operations, and intelligent operations, and help operations personnel improve their skills and plan their career development paths. Operations Pai is still the only non-profit technology community in the domestic IT operations field, and the community's activities and advertising revenue are used for the expenses of community volunteers, authors, and offline activities. The daily average IP/PV of the operation and maintenance website is approximately 5000/20000, and the Alexa ranking is approximately 100000; There are 50000 users of WeChat official account, QQ group and WeChat group. The manufacturers and communities that the operation and maintenance team has cooperated with include Tencent Cloud, Amazon AWS, UCLOUD, Youpai Cloud, QingCloud, Qiniu, NetEase Cloud, Yunzhixun, Yunzhi, Security Dog, Yingfang Cloud, Botao Group, Message Solution, Segmentfault, DBA+, Efficient Operation and Maintenance, IT Quxue Society, Xingyun Butler, etc.

Reading: 67 2019-05-20

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