Exploration of Optimization Strategies for Library and Information Work Management Based on Big Data Technology

With the rise of information technology, big data has penetrated into all aspects of social life and gradually become an important means to improve management efficiency and decision-making level. As an important aspect of information resource management, it will inevitably be impacted and promoted by big data technology. Traditional libraries have rich experience in resource management, information retrieval, and reader services, but in the face of increasing information volume and diverse user needs, traditional library information management methods have shown various drawbacks. The introduction of big data technology provides a new way and possibility for optimizing library information services. Through the collection, storage, analysis, and application of massive data, it is possible to more accurately understand user needs, optimize resource allocation, and improve service quality and efficiency. Therefore, exploring optimization strategies for library and information work management based on big data technology is of great significance.