When enterprise data integration jobs scale beyond tens of millions, the migration from DataX or Sqoop to Apache SeaTunnel is often full of thorns—configuration incompatibility, fragile field mapping, and inefficient bulk transformation, each of which can become a “roadblock” for project progress.
Now, a new tool named X2SeaTunnel is tackling this challenge. Even more surprisingly, this practical tool — capable of converting source configurations into SeaTunnel format with one click — was rapidly implemented through AI Coding.
On October 21, this knowledge-packed session will reveal the dual secrets behind tool development and AI empowerment!
💡 Why You Should Spend One Hour Listening to This Talk
🎯 Pinpointing Pain Points: Solving the “Tough Problems” in Data Migration
As an Apache Top-Level Project that serves top enterprises like Alibaba and Tencent — and stably processes over 20PB of data daily — SeaTunnel’s performance and scalability are well proven.
However, during the migration process, the configuration transformation of millions of jobs has long been a headache for engineers:
- Manual rewriting of configurations is time-consuming, labor-intensive, and error-prone;
- Different tools have varied syntax rules, making compatibility adaptation costly;
- Batch conversion lacks standardization, making quality validation difficult.
X2SeaTunnel breaks this deadlock.
It can directly transform configuration files from tools like DataX and Sqoop into SeaTunnel-supported HOCON or JSON formats — forming a closed loop from “source configuration parsing → unified model transformation → target configuration generation.”
This boosts migration efficiency by several times.
⚙️ Technical Deep Dive: Tool Design × AI Implementation
This session will explore two core dimensions — Tool Architecture and AI Empowerment, combining hardcore technical details with innovative methodologies:
- Inside X2SeaTunnel’s Core Design: A detailed breakdown of its “configuration-driven and on-demand logic” architecture, plugin-based design, and the full workflow from single-file to batch conversion.
- Practical Migration Guide: A hands-on demo showing efficient usage of X2SeaTunnel for rapid migration in real scenarios.
- AI Coding Case Review: A behind-the-scenes look at how the Vibe Coding (improvisational programming) model enables AI to participate in every stage — from product design and architecture setup to code generation — achieving rapid delivery and open-source contribution.
👨💻 Trusted Speaker: A Decade of Big Data Experience
The guest speaker, Wang Xiaogang, has nearly 10 years of experience in the big data field, covering solution design, product development, and end-to-end delivery.
He has deep insight into the core challenges and real-world pain points of data platform construction.
Currently, he leads data integration product development and key customer migration projects.
As an active contributor to the Apache SeaTunnel community, he continues to explore the fusion of AI and data technologies, hoping to combine theory and practice to offer valuable insights in this session.
📅 Session Overview
- Topic: AI Coding – Design, Development, and Implementation of X2SeaTunnel
- Date & Time: 2025/10/21, 14:00–15:00 (GMT+08:00, Beijing)
- Format: Live on WeChat Video Channel (see poster above)
- Target Audience: Big data engineers, data integration professionals, SeaTunnel users, and open-source enthusiasts
🎁 Extra Perks
At the end of the session, there will be a live Q&A and the official launch of the X2SeaTunnel Community Co-Building Program.
Whether you’re looking to overcome migration challenges or join open-source collaboration, this event will give you the momentum you need!
🤖 October 21, 14:00 — join the live stream to unlock efficient data migration techniques and discover innovative AI coding practices!
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