enterprise's information systems be able to withstand various threats to data security, such as natural disasters, human factors, hardware failures, and software bugs.
Data as a Service platform (DaaS)
It has the ability to unify the calculation and storage of heterogeneous data, so that scattered and messy data can be managed in a standardized way; it draws on the traditional data warehouse's data organization method for topic domains, and based on the dimension modeling theory, it builds a unified data public layer and application layer; it relies on the big data platform to complete the whole process of data research and development, and at the same time, it also includes data governance and data services.
Through data technology, massive amounts of data can be collected, calculated, stored, and processed. At the same time, unified standards and gauges can be used.
