数据存储、分析、数据呈现和数据应用早已形成了一个完整的框架，相关的技术

Data storage, analysis, data presentation, and data application have long formed a complete framework, and the related technology ecology is constantly improving. Large-scale technology companies in the 21st century also gradually have their own big data platforms, and different platforms also have their own technical characteristics. In short, the current technology has laid a certain foundation for industry application innovation of big data. The big data-related industry chain is being pushed forward by an invisible force, and a certain industrial division of labor has gradually formed within the industry. For example, some companies focus on data collection, some companies focus on data analysis, and some companies focus on data applications. Judging from the current application of big data, the current application of big data is still in its infancy. There are many factors restricting big data, even if it has great potential. These factors can be summarized into three points, one of which is the basic information system. Second, the construction cost of big data is too high. The third is that big data is very short of talents. The application of big data in the industrial field often requires enterprises to start from the cloud, complete the integration of many resources of the enterprise based on cloud computing, and complete the application of big data based on cloud computing. Therefore, if companies want to fully open up the valuable space of big data, they must first consider the construction of cloud computing platforms. From this perspective, the implementation of big data solutions is a systematic and complex process that requires not only technical solutions, but also management solutions.

Data storage, analysis, data presentation and data application have already formed a complete framework, and the related technical ecology is also constantly improving. Large technology companies in the 21st century also gradually have their own big data platform, and different platforms also have their own technical characteristics. In short, the current technology has laid a certain foundation for the industrial application innovation of big data. The industrial chain related to big data is being pushed forward by an invisible force, and a certain industrial division of labor has gradually formed in the industry. For example, some companies focus on data collection, some companies focus on data analysis, and some companies focus on data application. From the current landing application of big data, the landing application of big data is still in its infancy. There are many factors that restrict big data, even if it has great potential. These factors can be summarized into three points, one of which is the basic information system. Second, the construction cost of big data is too high. Third, big data is very short of talents. The landing application of big data in the industrial field often requires enterprises to start from the cloud, complete the integration of many resources of enterprises based on cloud computing, and complete the landing of big data applications based on cloud computing. Therefore, if enterprises want to fully open the valuable space of big data, they must first consider the construction of cloud computing platform. From this perspective, the implementation of big data solutions is a systematic and complex process, which requires not only technical solutions, but also management solutions.

Data storage, analysis, data presentation and data application have already formed a complete framework, and the related technical ecology is constantly improving. In the 21st century, large-scale technology companies gradually have their own big data platforms, and different platforms also have their own technical characteristics. In a word, the current technology has laid a certain foundation for the innovation of big data industry application. The industrial chain related to big data is being pushed forward by an invisible force, and a certain industrial division of labor has gradually formed in the industry. For example, some companies focus on data collection, some companies focus on data analysis and some companies focus on data application. At present, the landing application of big data is still in its infancy. There are many factors that restrict big data, even though it has great potential. These factors can be summarized into three points, one of which is the basic information system. Second, the construction cost of big data is too high. Third, big data is very short of talents. The landing application of big data in the industrial field often requires enterprises to start from the cloud, complete the integration of many resources of enterprises based on cloud computing, and complete the landing of big data applications based on cloud computing. Therefore, if enterprises want to fully open the valuable space of big data, they should first consider the construction of cloud computing platform. From this perspective, the landing of big data solutions is a systematic and complex process, which requires not only technical solutions but also management solutions.