The management of unstructured data is considered to be a big problem in today's internet technology, because the tools and technologies that can effectively manage structured data in the past are not suitable for unstructured data. The key work of the unified storage platform for unstructured data is to realize the unification of data storage interfaces, and at the same time realize heterogeneous storage according to data characteristics to ensure the high availability and consistency of data. In traditional software development, relational database technology is the main way to record and update data. However, with the development of information technology, the format of these data is uncertain and it is very difficult to record them. Taking unstructured data as the research object, aiming at the problem of data recording in the process of software development, this paper puts forward a processing strategy of unstructured data in software development: batch processing based on unified storage platform, Hadoop computing framework and distributed unstructured data index framework, so as to solve the problem of data recording and updating in the process of software development.

Ping Xu. Research on an Unstructured Data Processing Strategy for Software Development. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 7: 46-50. https://doi.org/10.25236/AJCIS.2023.060707.

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