Nowadays, the amount of logistics information is increasing, the port as an important hub of logistics, data processing and analysis has far exceeded the ability of manual processing. This project aims to solve the large amount of port logistics information data and low degree of standardization, based on a new generation of information technology, the port logistics-related data collection, management, storage and other operations, the development of port logistics information analysis system. In the work project, we first use DMETL to collect the official data released by the platform, including the analysis, selection, extraction, cleaning, conversion and other processing processes of relevant data sources to ensure the accuracy, integrity, consistency and security of the data; Then we manage the data and formulate a series of governance rules, including data standardization, data integration, data management and other aspects, and use SparkSQL to calculate and realize the rules, so as to establish a unified data model and specification, and improve the value and credibility of the data; The data after governance is stored in DM database, and the sharing platform can call the underlying data for data sharing. Finally, to provide data services for users, the front-end separation mode is adopted to realize data interaction. Users can directly access the data or view the corresponding charts to obtain information intuitively. Through the implementation of the project, it can effectively solve the problems of large amount of data and low degree of standardization faced by the port logistics industry, improve operational efficiency and management level, optimize customer experience and service quality, and establish an efficient and intelligent port logistics information analysis system.