Big Data for the traditional BI, both inheritance and development, from the point of view of the "Road", BI and Big Data is more inclined to the former decision-making, the fact that the description of the more based on the group *** sex, to help decision makers grasp the macro-statistical trends, suitable for the operation of business operation indicators. Supporting the class problem, big data has a broader connotation, tends to portray the individual, more in the personalized decision-making.

2, from the tool's point of view

Traditional BI using ETL, data warehousing, OLAP, visual reporting technology, belonging to the application and display layer technology, are currently on the verge of elimination, because it can not solve the massive amount of data (including structured and unstructured) processing problems. And big data application is a complete technical system, including the use of Hadoop, stream processing and other technologies to solve the ETL problem of massive structured and unstructured data, the use of Hadoop, MPP and other technologies to calculate the computation of massive data, the use of redis, HBASE and other ways to solve the problem of efficient reading, and the use of Impala and other technologies to achieve the problem of online analysis. So it's a brand new industry.

3, from the perspective of the data source

The data source of big data applications, not only including unstructured data, but also a variety of system data, database data. Among them, unstructured data is mainly focused on the Internet and some social networking sites and some machine and equipment data, which constitute the data sources of big data applications. For big data analysis tools, at this stage is also for unstructured data analysis more.

BI system is in the data integration technology is more and more mature, for the extraction of data, a variety of data mining requirements, the data integration platform will help enterprises to realize the flow of data and interactive use, the implementation of BI applications within the enterprise is in order to better share and use of data.

4, from the perspective of the development direction

BI's development should be converted from the traditional business intelligence model, for the enterprise, BI is not just an IT project, it is a kind of management and thinking, from the deployment of technology to the business process planning, BI ushered in a new development. For big data, at this stage, more big data focus on unstructured data, the emergence of different data analysis tools and the increasing scope of application in the line, for big data applications, how to apply the industry with a deep combination is the most important.