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This article mainly explains "what is the difference between big data and BI". Interested friends may wish to have a look. The method introduced in this paper is simple, fast and practical. Next, let the editor take you to learn "what is the difference between big data and BI?"

BI (Business Intelligence), Chinese translation is business intelligence, is a complete solution, which is used to effectively integrate the existing data in the organization, quickly and accurately provide reports and provide decision-making basis, and help the organization to make wise business decisions.

Big data (Big Data) is from the massive data collected, through the algorithm to directly analyze the data from different channels and formats to find the correlation between the data. To put it simply, big data pays more attention to the circular approach process of discovery, conjecture and confirmation.

No matter how different the definition is, big data and traditional BI are the products of different stages of social development. We can quickly see the difference between the two from several latitudes:

First, from the perspective of data sources

The data sources of big data's application include not only unstructured data, but also all kinds of system data and database data. Among them, the unstructured data is mainly concentrated on the Internet and some social networking sites, as well as the data of some machines and equipment, which constitute the data source of big data application. For big data's analysis tools, there are more unstructured data analysis at this stage.

BI system is more and more mature in the technology of data integration. For data extraction, a variety of data mining requirements, data integration platform will help enterprises to achieve data circulation and interactive use. The implementation of BI applications in enterprises is to better share and use data.

Second, from the perspective of mode of thinking

Big data not only inherits but also develops the traditional BI. From the perspective of "Tao", the difference between BI and big data lies in that the former is more inclined to decision-making, the description of facts is more based on group commonness, helps decision-makers grasp macro statistical trends, and is suitable for operating indicators to support problems, while big data has a broader connotation, tends to depict individuals, and more focuses on personalized decision-making.

Third, from the perspective of development direction

The development of BI should start from the traditional business intelligence model. For enterprises, BI is not only an IT project, but also a way of management and thinking. From technology deployment to business process planning, BI ushered in a new development. For big data, at this stage, more big data pays attention to unstructured data, the emergence of different data analysis tools and the increasing scope of application in the industry, for big data application, how to carry out a deep combination with the application industry is the most important.

Fourth, from the perspective of tools

Traditional BI uses ETL, data warehouse, OLAP and visual report technology, which belongs to application and presentation layer technology, which is on the verge of elimination, because it can not solve the problem of dealing with massive data (including structured and unstructured). Big data applies a complete technical system, including using Hadoop and stream processing technology to solve ETL problems of massive structured and unstructured data, using Hadoop, MPP and other technologies to calculate massive data computing problems, using redis, Hbase and other methods to solve efficient reading problems, using Impala and other technologies to achieve online analysis. So it's a whole new industry.

Fifth, from the point of view of personnel

Traditional BI can be engaged in the work of BI as long as it mastered the core SQL technology, but big data's data processing involves too many new technologies, different application scenarios require different big data processing methods, and there is no longer a client with such good human-computer interaction, at least know flow processing, HADOOP, column or distributed key database, and need to be able to develop algorithm programs on SPARK. There should be some understanding of user portraits, product tagging, recommendation systems, and sorting algorithms.

At this point, I believe you have a deeper understanding of "what is the difference between big data and BI". You might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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