A real-time integration scheme of multi-source heterogeneous data based on Flink

Abstract

Data integration technology is of great significance to all kinds of analysis and decision-making systems based on largescale data. The difficulty of data integration lies in the diversity of data sources, data types and data storage methods, which makes it difficult to integrate data in real time. To solve the above problems, this paper designs a scheme, which uses the real-time stream processing characteristics of Apache Flink to realize the real-time integration of multi-source heterogeneous data through log capture and user-defined data processing. Through this scheme, multi-source heterogeneous data can be integrated into one place to provide data support for all kinds of big data analysis and decision-making.