Abstract:With the development of big data technology, data management in big data environment requires higher management of enterprise data assets. In the era of large data, data is assets, and the data presents new features: the amount of data needs to be processed is larger, the number of data needs to be processed is more, and the speed of data generation and change is faster. The power grid big data has the characteristics of diversity, one source sharing, multi-source and multi standard, and business continuity. How to manage the availability, integrity, security and of global data in a comprehensive way, make use of the mass production and operation data of the power grid to produce actual application value ，maximizing the value of structured and unstructured information， has become an urgent problem. Aiming at the problem of data analysis, this paper designs and implements a perfect large data scheduling management platform,to meet the requirements of scalable, distributed, and heterogeneous analysis tools and large service - oriented data management,speed up data analysis and provide better service for enterprise management.