Research on Knowledge Management Technology of Aerospace Engineering Based on Big Data

Abstract

In the era of big data, mass production, analysis and application of data have become a new trend. In the long-term design, production, operation and testing process of aerospace enterprises, a large number of valuable data have been generated. Collection and analysis of these data can improve the management of aerospace enterprises and gain competitive advantages. With the increase of semi-structured and unstructured data produced by aerospace enterprises year by year, how to store and analyze data, how to mine and share knowledge has become a major problem. The existing knowledge management system cannot meet the diversified needs of users only by traditional database technology. It also needs to combine distributed computing and storage technology to solve the problems of knowledge storage, knowledge sharing, knowledge mining, knowledge retrieval and recommendation in big data environment. Aerospace enterprises need to build a knowledge management system based on big data technology to support knowledge innovation and knowledge application. From the perspective of data operation and relying on Hadoop ecosystem related big data technology, this paper constructs a knowledge management framework model for aerospace enterprises based on Hadoop.