The approximate framework of smart mining of big data in Meigrape. As a community e-commerce company, Meiteak uses big data mining to drive through the ecosystem. User-centric, through the user's in-depth analysis, the formation of user portraits, in-depth understanding of user needs, personalized transformation of the community to make it more temperature, more sticky. At the same time based on the understanding of users, so that the community e-commerce can make accurate recommendations, in-depth understanding of the needs of users. Based on the understanding of female users, users have done a multi-dimensional division, brand and advertisers accurate advertising, can get higher revenue. Meigrape uses two systems to store user data, on Alibaba Cloud, user data is mainly stored on ADS, user characteristics are stored in the ADS multi-value column, in the self-built machine room, the use of Cube in Kylin to store the characteristics of the user's underlying dimensions, easy to quickly query.