A LOG-BASED METHOD FOR CAPTURING AND UPDATING HETEROGENEOUS CHANGE DATA FROM MULTIPLE SOURCES
With the development of BI(Business Intelligence)and the transformation of business needs in the industry,enterprises urgently need to update the change of data sources in real time to the data warehouse for analysis and processing,in order to timely assist business personnel in making business decisions.Therefore,there is a need for real-time monitoring and capture of incremental change data updates.The traditional data update method cannot identify incremental updates in the data,and the obtained data has lost timeliness,which is difficult to support real-time decision analysis.In response to the above problems,this article proposes a change in the method of data capture and update based on database logs.Taking practical application cases as background,it describes how to use this method to invasively capture change logs from heterogeneous multi-source databases and synchronize change data in real time to downstream databases or systems.The method is implemented in an actual enterprise production environment within the context of industrial big data,resulting in the development of a prototype system for change data capture based on database logs.This system undergoes testing using heterogeneous original production data and business data,confirming its capability for change data capture in real-world big data scenarios.The proposed multi-source heterogeneous change data capture and update method based on database logs offers enterprises a low-intrusion,high-real-time,and high-availability solution for collecting,processing,and synchronizing heterogeneous data.It efficiently supports rapid data analysis and enables informed business decision-making.
multi-source heterogeneouschange data capturedatabase logbusiness intelligencereal-time updatelow intrusion
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