Data integration architecture diagram
2024-11-29 09:48:11 1 Report
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This data integration architecture diagram illustrates the comprehensive process of data management and collection. It encompasses various components such as Flume for file data handling, Flink for data integration, and message middleware for efficient message consumption. The diagram highlights key processes including task building, deletion, and logging, alongside real-time data acquisition through FlinkCDC. It also covers offline data collection, such as large-scale offline data (T+1), and public web data gathering via Scrapy crawler collection. This architecture ensures seamless integration and real-time capture of database changes, optimizing data flow from diverse sources to the ODS.
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Outline/Content
Flume
File data
Flink
Data integration
Message middleware
Message consumption
Task deletion
ODS
Scrapy
Crawler collection
File collection
Task log
Task started
Public web data
Data source
Large-scale offline data (T+1)
FlinkCDC
Real-time capture of database changes
Real-time data acquisition
Offline data collection
Task building
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