The Design And Implementation Of Distributed Data Management Platform

With the era of web2.0 comes, the mobile internet is rapid develops, the volume of data is becomes bigger and the diversity of data is increasing. With cloud-computing and big data comes, more and more companies are collecting users’data, with the hope of that these data will help them obtain more market. However, the low efficient way of managing data conceals the real value of the data. An efficient way to manage users’data is necessary in marketing.This paper studies the topic about how to help enterprise to manager their large volume users’data. The main purpose of this paper is to provide a full-stack distributed data management platform, which can manage thousands of millions of users’data. The platform can deeply analyze each user with different aspects, and generate a profile for each user by tagging them. After that, enterprises can search users’profile on the website or develop data applications upon it.Because data management platform is a new business area nationwide, and there is no paper for detail of data management platform, the design and implementation of distributed data management platform is based on the requirements from our customers.The shipping of the project will provide an efficient, stable and scalable distributed data management platform. Our customers speak highly of its outstanding capability of data mining, data analyzing and data management. Launched 3 months ago, the platform has managed and analyzed thousands of millions of users’ data and generated users’ profile for searching and OpenAPI requesting.