As generative AI continues to evolve, enterprises are placing new demands on their data infrastructure. Beyond traditional structured data, multimodal data—including text, images, audio, and other content types—is growing rapidly. As data types become more diverse and data pipelines increasingly complex, building a unified, efficient, and easily governed data pipeline platform has become a key challenge for many organizations.
At the upcoming Apache SeaTunnel June Meetup, we are excited to welcome Xiaocheng Zhou, Data Development Engineer at HOPEGOO and Apache SeaTunnel Committer, who will present a session titled "Architecture and Practices for a Unified Multimodal Data Pipeline Platform."
Drawing from HOPEGOO’s real-world experience, this talk will explore how the company leveraged Apache SeaTunnel to consolidate data ingestion channels, build a unified batch-and-stream data platform, and gain valuable insights throughout the platform modernization journey.
Featured Speaker
Xiaocheng Zhou currently works at HOPEGOO, where he focuses on data platform development and operations. He is also an Apache SeaTunnel Committer and has been actively contributing to the SeaTunnel community and its ongoing evolution.
Background and Session Overview
As business scale continued to expand, HOPEGOO gradually accumulated multiple data synchronization systems, including:
- Offline data synchronization services
- Real-time lake ingestion pipelines
- Legacy Sqoop-based synchronization jobs
- An early-generation SeaTunnel platform
While these systems effectively supported business requirements at different stages of growth, the coexistence of multiple synchronization platforms eventually introduced several challenges as data volumes and use cases continued to grow:
- Fragmented data ingestion entry points
- Increased maintenance costs caused by multiple technology stacks
- Difficulty establishing unified data governance
- Reduced efficiency when onboarding new business scenarios
- Challenges in standardizing platform capabilities across teams
At the same time, the rise of generative AI applications has significantly increased demand for multimodal data processing, creating new challenges for traditional data integration architectures.
Against this backdrop, HOPEGOO began exploring the construction of a unified data pipeline platform and ultimately selected Apache SeaTunnel as its core data integration engine, driving the consolidation and modernization of its data synchronization ecosystem.
Event Information
- Topic: Architecture and Practices for a Unified Multimodal Data Pipeline Platform
- Date & Time: June 23, 2026, 14:00–15:00 (UTC+8)
- Live Streaming: https://meeting.tencent.com/dm/VABnzAOyh8Yx
Community Giveaways
As with our previous events, we have prepared exclusive Apache SeaTunnel community gifts for online attendees. Join the live session for a chance to win exciting prizes and community swag!
Reserve Your Spot Today
From managing multiple independent synchronization systems to building a unified data pipeline platform, and ultimately preparing data infrastructure for the multimodal AI era, HOPEGOO's journey offers valuable lessons for organizations facing similar challenges.
If you're interested in data integration platforms, unified batch-and-stream architectures, lakehouse implementations, or enterprise adoption stories of Apache SeaTunnel, we invite you to reserve your spot now!
Join this Meetup to connect with community contributors and industry practitioners!
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