Research on Urban Water Big Data Platform based on Microservices Architecture

With the continuous advancement of urban water management construction, various departments have established many business systems in the early stage. Due to the different times of information construction, there is a lack of unified data resource standards and application standards, and the problem of lack of data support in analysis and decision-making is becoming increasingly prominent. In response to the increasing problem of information silos, this article proposes a design of urban water big data platform based on microservices architecture. The server is developed using Java language, Spring Cloud framework as the backend development framework, and VUE 2.0 framework as the frontend development framework. The platform covers both offline and real-time data warehouses, with data computation using Spark and written in SCALA language. The offline data warehouse is implemented using Hive, providing a data computation support platform for different business scenarios. This study conducted corresponding testing and analysis on the performance of the platform. The success rate of data collection on the platform reached 89.1%, the data lineage coverage in the data warehouse accounted for 86%, and the success rate of interface calls for data applications reached 90%.