The Application of Distributed Storage and Computing Technology in Database Development Based on Big Data Background

With the rapid development of information technology, the era of big data has arrived. In this context, distributed storage and computing technology play a crucial role in database development. This article explores the application of distributed storage and computing technology in database development in the context of big data. Big data is characterized by its vast scale, diverse types, low value density, and high processing speed requirements, posing challenges to database development in terms of storage, processing, management, and analysis. The research adopts literature research and questionnaire survey methods, conducting a status quo study with experimental and control groups to clarify the important role of distributed storage and computing technology in database development. Application cases cover industries such as e-commerce, finance, and healthcare. Future development trends include intelligent database development, integration of blockchain technology and databases, collaboration between edge computing and databases, and the development of data lakes. Although big data technology creates huge value, it also brings security and privacy protection issues that need to be addressed. In summary, distributed storage and computing technology provide support for database development to adapt to the needs of the big data era, driving digital transformation across various industries. We should fully leverage the advantages to innovate and improve, promote the healthy development of big data applications, and contribute to economic and social development.