数据管理系统发展趋势与挑战

发布时间:2023-07-25 作者:韩银俊,牛家浩,屠要峰 阅读量:

 

摘要:数据是数字经济时代重要的生产要素。数据管理成为释放数据价值的重要引擎。回顾了数据管理技术的迭代变迁历程,分析了构建新一代数据管理基础设施的关键技术及挑战。结合中兴通讯在数据管理领域进行的创新和研发实践,展示了应对这些挑战的思路、方案及取得的成效。最后,对数据管理技术发展进行了总结和展望。指出数据域技术栈应当走低碳高效、可持续发展路线,而高能效数据管理技术是可持续发展的关键。

关键词:数据管理;数据分析;数据库;大数据;人工智能

 

Abstract: Data is an important factor of production in the era of digital economy. Data management is an important engine for releasing the value of data. The iterative evolution of data management technology is reviewed, and the key technologies and challenges of building a new generation of data management infrastructure are analyzed. Combined with ZTE’s innovation and R&D practices in the field of data management, the ideas to solve these challenges, solutions, and results achieved are demonstrated. Finally, the development of data management technology is summarized and prospected. It is pointed out that the data domain technology stack should follow a low-carbon, efficient, and sustainable development path, and high energy efficiency data management technology is the key to sustainable development.

Keywords: data management; data analysis; database; big data; artificial intelligence

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