Simplifying Next-Gen Data Federation for AI with Arrow Flight SQL
Accessing consistent, quality data on the fly across distributed systems for next-generation AI workloads is increasingly difficult as environments grow more complex and sparser.
QueryGrid® seamlessly connects diverse data sources across complex environments. Building on this strength, its new Arrow Flight SQL connector enables fast, low-latency data transfer between systems. By leveraging Arrow’s zero-copy columnar format and Flight’s high-performance remote procedure call (RPC) framework, it delivers speed, scalability, and interoperability—ideal for next-generation AI workloads. It extends the data in your enterprise data warehouse (EDW) or lakehouse with more complex systems to provide rich context for agents and models; enforces governance; and reduces complexity. This ensures high performance for both the platform and those who use it.
Watch the demo replay to learn how we enable real-time analytics for use cases like fraud detection, churn analysis, and operational intelligence.
See how to:
- Simplify connectivity by linking multiple engines and tools with a single, high-performance query interface
- Accelerate AI workloads through real-time data federation, enabling agents and models to retrieve fresh context on demand
- Future-proof your architecture for next-generation workloads in a few practical steps
Speakers include:
Sebastián Barreda
Senior Staff Product Manager, Data Integration at Teradata
Sebastian Barreda is a Senior Staff Product Manager at Teradata, where he leads product strategy for the Data Management portfolio, including data exploration, metadata management, and Teradata’s flagship data fabric solution, QueryGrid®. With over 18 years of experience in data and analytics, Sebastian has held roles spanning consulting, solution architecture, and ecosystem strategy—advising CDOs, CTOs, and CIOs on cloud modernization and data-driven solutions. He brings deep expertise in cloud and open-source technologies, and has been instrumental in infusing AI into enterprise products and processes. His industry experience includes retail, manufacturing, communications, media & entertainment, and finance. A frequent speaker at global conferences, Sebastian also shares his passion for data as a university lecturer in Argentina.
Yao Huang
Principle Software Architect at Teradata
CISSP-certified Principal Software Architect with 20+ years building and leading high-scale, multi-tier enterprise systems and cloud services. Led multiple cloud modernization programs at Teradata—spanning QueryGrid, Cloud Data Protection, and Cloud Customer Onboarding—and a key leader in achieving FedRAMP compliance for the Vantage Cloud Lake ecosystem. Deep multi-cloud (AWS, Azure, GCP), Kubernetes (EKS, GKE) and cloud networking expertise, with a strong focus on security architecture, zero-trust fundamentals, and regulated environments. Mentor and hands-on leader of global teams; passionate about applying AI, AI Agents, and MCP workflows to speed delivery while maintaining rigorous quality and security