Architectural design of data collection platform

Author: Zen and the Art of Computer Programming

1 Introduction

As a key link in enterprise data analysis and processing, the data collection platform plays a vital role in the enterprise. However, the construction of the collection system is often laborious due to various factors such as business complexity, high technical threshold, and software and hardware costs. How to design a data collection platform with reliability, scalability, and security is a very challenging problem. This article will start from the functional requirements of the data collection platform and elaborate on the structural design of the data collection platform.

The data collection platform includes multiple sub-modules such as data collection module, data storage module, data analysis module, data display module, user rights management module, and data quality management module. Its main responsibilities are as follows:

  • Data collection module: Responsible for collecting, summarizing, and transmitting various types of enterprise data in real time, and achieving accurate data transmission to meet the diverse business needs of customers in different types and scenarios;
  • Data storage module: long-term storage of collected data, ensuring data integrity, queryability, and stability, and supporting rapid query of massive data;
  • Data analysis module: Generate insights by analyzing data to support data-driven business development and enhance competitiveness;
  • Data display module: presents data information based on data analysis results and visualization components, providing an intuitive and easy-to-understand data presentation method;
  • User rights management module: Through rights control, it ensures that only authorized personnel can access and use the data collection platform resources, thereby improving the security of the data collection platform;
  • Data quality management module: monitor and evaluate the data quality of the data collection platform, detect abnormal behaviors in a timely manner, and improve the overall work efficiency of the data collection platform.
      According to the actual situation of the enterprise, the above modules can be divided into different product forms or versions, such as data collection applications, data collection services, data collection cloud platforms, etc. Each version should have certain functions while ensuring the reliability, security and performance of the platform, and can be upgraded and iterated according to business conditions.
      This article will start from the basics of data collection platform

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Origin blog.csdn.net/universsky2015/article/details/132095073