Compared with the intelligent analysis of single-source data, big data has achieved comprehensive data fusion of multi-ports, multi-industries and multi-sources, which is quite different in data source, data structure, generation time, use place, code protocol and so on.
Second, * * * enjoy
Big data technology can break the information island dilemma, open up the main artery of information circulation, revitalize the potential value of data, and promote the formation of a unified, efficient and interconnected data and resource sharing layout among industries and departments.
Third, accuracy.
Multi-source data fusion with big data as the core further improves the systematicness of data content and ensures the integrity and reliability of data sources.
Fourth, technology.
Big data realizes multi-port access to multi-source data, and the application requirements of vertical domain are embedded in different multi-source data fusion processing technologies. Technical work? .
Dimension cloud? Data resource management platform
Verb (abbreviation for verb) authority
Relying on authoritative, legal and multi-source first-hand data resources, it is of certain guiding significance to display the results of intelligent analysis of multi-source data and publish data authoritatively.
Sixth, forward-looking.
Intelligent analysis of big data can effectively supplement the shortcomings of traditional single-source data analysis methods. Through data cleaning and processing technology, coupled with reasonable modeling, it is very predictable to fully explore and grasp the operation law.
What are the characteristics of big data intelligent analysis? Ivy Bian Xiao will share with you here. If you are interested in big data engineering, I hope this article can help you. If you want to know more about the skills and information of data analysts and big data engineers, you can click on other articles on this site to learn.