In the wave of enterprise digitalization, data collection is no longer a simple matter of “just getting the data synced.”
Fragmented and heterogeneous data sources, TB-level data throughput, and the stability challenges of cross-system synchronization have become persistent “data headaches” for most enterprises.
Yet SUPCON, an industrial AI platform serving over 35,000 global customers, has delivered an impressive answer using Apache SeaTunnel — achieving zero-failure operation in its core data synchronization tasks.
On November 11 at 14:00, join us for a live online session!
We’re excited to welcome Cui Junle, Data Technology Lead at SUPCON, who will take us deep into the architecture and best practices behind building an industrial-grade data collection framework.
About the Speaker
Cui Junle, Data Technology Lead at SUPCON Co., Ltd.
With years of experience in the data field, Cui has been deeply involved in the planning, construction, and evolution of SUPCON’s group-level data platform.
He possesses extensive expertise in big data architecture across data ingestion, storage, and computation.
As a seasoned SeaTunnel practitioner, he will share how SUPCON leveraged this tool to build an efficient and unified internal data pipeline, driving technological implementation and innovation in data infrastructure.
Highlights of the Meetup
The Way to Build an Industrial-Grade Data Collection Framework by Supcon Technology
Dissecting Three Core Values:
- Pain Point Dissection: Analyze the operation and maintenance black hole caused by multi-tool cobbled-together architecture.
- Selection Logic: Publicize the five core criteria for enterprise-level tool selection.
- Practical Secrets: The technical underpinning for zero-failure operation of enterprise-level data collection solutions.
Overview of the Schedule
- 14:00-14:05: Host Opening
- 14:05-14:45: Supcon Technology Builds an Efficient Data Collection Framework with SeaTunnel (Cui Junle, Data Technology Supervisor of Supcon Technology)
- 14:45-15:00: Q&A Session
- 15:00: Lucky Draw
Why You Can’t Miss This Live Session
As a hands-on expert who played a key role in SUPCON’s group-level data platform transformation, Cui Junle has witnessed the company’s journey from “siloed data collection” to a “unified data pipeline.”
In this session, he will break down the three core values behind SUPCON’s daily TB-level data processing, including real-world practices and technical insights:
Pain Point Analysis:
A deep dive into the operational challenges caused by multi-tool, patchwork architectures — from frequent synchronization delays and resource exhaustion to scalability bottlenecks — reveals SUPCON’s former “data collection dilemma.”Technology Selection Logic:
A detailed look into the five key criteria for enterprise-level tool selection (including connectivity, high availability, and consistency), and why SeaTunnel outperformed solutions like Sqoop and StreamSets in comprehensive evaluations.Practical Secrets:
Step-by-step insights into how SUPCON built a high-efficiency, enterprise-grade data collection solution for large-scale, heterogeneous environments — ensuring accuracy, completeness, and timeliness of data collection, while achieving zero-failure operation.
Who Should Attend
✅ Architects responsible for enterprise data platform planning
✅ Operations engineers struggling with multi-source data sync failures
✅ ETL developers needing to adapt to business demands quickly
✅ Tech enthusiasts following SeaTunnel’s enterprise adoption and real-world use cases
Book Your Spot
⏰ Time: November 11, 2025, 14:00–15:00(CST)
📱 Join the Meetup Here: https://meeting.tencent.com/dm/IKf5dC3tYoNe
🎁 Bonus: Access to an exclusive technical discussion group + high-chance prize draw during the live session
From “firefighting maintenance” to proactive monitoring, and from “technical silos” to unified collaboration, this live session — built on real industrial-grade experience — will help you unlock the “secret channels” of stable data collection.
📅 November 11 at 14:00 — join us to explore the path toward a truly reliable data pipeline!
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