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Tutorial on using Seatunnel with Airflow in a corporate environment. Link: https://www.cnblogs.com/kkk247843405/p/16967800.html ![Pasted image 20250306175235.png](/i...

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Enterprise Data Integration Solution: A Practical Guide to SeaTunnel with Airflow

Tutorial Reference: SeaTunnel + Airflow Deployment Tutorial


Basic Architecture and Functionality

![Pasted image 20250306175235.png](../image/seatunnel/Pasted image 20250306175235.png)

1. Source Connector

SeaTunnel supports reading data from a wide variety of sources, including:

  • Databases: Relational databases, graph databases, NoSQL, document databases, and in-memory databases.
  • Distributed File Systems: Such as HDFS.
  • Cloud Storage: Mainstream cloud storage solutions like S3 and OSS.
  • SaaS Services: Data ingestion support for various common SaaS applications.

2. Transform Connector

When the schemas of the source and target systems are inconsistent, Transform Connectors can be used to clean, transform, or format the data, ensuring it can be successfully written to the target system.

3. Sink Connector

SeaTunnel supports writing processed data to various target systems, covering:

  • Databases: Relational, graph, NoSQL, document, and in-memory databases.
  • Distributed File Systems: Such as HDFS.
  • Cloud Storage: Solutions like S3 and OSS.
  • SaaS Services: Support for writing to multiple mainstream SaaS platforms.

Architecture Diagrams

![Pasted image 20250306175550.png](../image/seatunnel/Pasted image 20250306175550.png)

![Pasted image 20250306175607.png](../image/seatunnel/Pasted image 20250306175607.png)

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