The Design And Implemention Of Expert Analytics Assisting System Based On Large Data

In this era of big data,enterprises in all work of life can develop a more thorough and insightful understanding of their business,which can lead to enhanced productivity,a stronger competitive position and greater innovation.However,there are barriers for companies like problems with database software,sourcing and rationalizing big data from multiple systems,and inadequate staffing and skills.This paper developed an integrated big data solution spanning data acquisition,data organization,data analytcis,data visualization and extendibility based on expert knowledge to address the full spectrum of enterprise big data requirements.The software offers a friendly human-computer interface and keep the algorithm details from users.Company staff can use the analytical tools to do fast online processing,build complex analystics models for share,design personalized visualization to gain real value of the data.This can help companies optimize business performance and make the most informed decisions.The big data analytics system of this paper makes use of ADS and MaxCompute,which are two PaaS products of Alibaba cloud service.MaxCompute is based on MapReduce,which is a highly scalable and fault-tolerant programming paradigm for parallel processing big data by means of parallel execution on a large number of commodity computing nodes.This paper designs several basic operation models based on MapReduce for users to configure complex data processing logic freely.Experts can also expand the data processing capabilities by making use of their field experience and adding reusable and scalable analysis module to the software.