云平台的数据来源主要包括互联设备、信息系统和各类基础平台,在获得数据的

The data sources of the cloud platform mainly include interconnected devices, information systems and various basic platforms. On the basis of obtaining data, data access and data analysis are realized through data processing such as data access, data preprocessing, data storage, and data analysis of the platform. And data mining and other services, based on this platform to build an enterprise data <br>Internet , to achieve data interconnection, analysis and services. The realization of the big data cloud platform requires the construction of a new big data fusion computing framework based on the cloud platform. At the same time, the multi-source heterogeneous manufacturing data also proposes distributed and parallelism for data access, data storage, data processing and analysis. , real-time and other new requirements

The data sources of cloud platform mainly include interconnected devices, information systems and various basic platforms. On the basis of obtaining data, data access, data preprocessing, data storage, data analysis and other data processing of the platform can realize services such as data access, data analysis and data mining, and build enterprise data interoperability based on the platform<br>Networking to realize data interconnection, analysis and service. The implementation of big data cloud platform requires the construction of a new big data fusion computing framework based on cloud platform. At the same time, multi-source and heterogeneous manufacturing data also puts forward new requirements for data access, data storage, data processing and analysis, such as distribution, parallelism and real-time

The data sources of cloud platform mainly include interconnected devices, information systems and various basic platforms. On the basis of data acquisition, data access, data analysis and data mining services are realized through data processing such as data access, data pre-processing, data storage and data analysis of the platform. Based on this platform, data mutual of enterprises is built. Networking to realize data interconnection, analysis and service. The realization of the big data cloud platform requires the establishment of a brand-new big data fusion computing framework based on the cloud platform. At the same time, the multi-source and heterogeneous manufacturing data also put forward new requirements for data access, data storage, data processing and analysis, such as distribution, parallelism and real-time.