The industry is facing explosive growth in real-time data sources. The system solution realizes real-time data analysis and intelligent decision-making under massive data sources through data acquisition, processing, storage, analysis, machine learning prediction and visualization. This system solution adopts microservice architecture and through Alibaba cloud components to design and implement data collection, processing and analysis, and display the data analysis results of multiple dimensions in a visual way. The solution both backtests historical data and predicts future trends, which is of great significance for intelligent analysis of big data. The entire data flow of the system uses distributed services for unified configuration management and service monitoring, elastic expansion of microservices as needed, and modular decoupling of data collection services and conversion computing storage services using message middleware, which improves the throughput and processing speed of the data flow, thus accomplishing the storage and real-time analysis of big data. This solution is characterized by good scalability, easy monitoring, easy management, large throughput and rapid processing.

A microservices distributed architecture based on Alibaba Cloud and Apache Flink components to implement a big data analytics system. The architecture consists of Extract, Transform, Load (ETL) service, Analysis service, Storage service, Visualization and Intelligent Decision service. Visualization and Intelligent Decision Service.

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