Research on the Development Strategy of Suzhou's Sustainable Development under Hadoop's HDFS (Hadoop Distributed File System)

With the acceleration of economic globalization and urbanization, sustainable urban development has become a critical research topic. As a significant economic hub on China's east coast, Suzhou's diversified economic development model offers valuable insights for other cities. This study explores the impact of diversified economic development on Suzhou's sustainable development through empirical analysis, leveraging advanced data processing technologies such as Hadoop. By utilizing Hadoop's distributed storage and processing capabilities, we effectively manage and analyze large-scale economic, social, and environmental data. The study employs a multi-variable linear regression model, to quantify the effects of various economic factors on sustainable urban growth. The findings demonstrate that diversified economic development significantly contributes to Suzhou's sustainability, with specific emphasis on industrial diversity, employment structure, and innovation capacity. The integration of big data technologies ensures a robust analysis, providing actionable strategies for promoting sustainable urban development in Suzhou and other cities.