Data Streaming Summit Spotlight: Streaming Lakehouse Track

Theme

One governed data layer for streaming and analytics — Iceberg-native real-time with engines that span streams and tables.

Why this track matters

The Streaming-Augmented Lakehouse (SAL) is becoming the default blueprint: append-only streams landing in open tables, compaction for curated layers, and query engines that serve both interactive analytics and ML/AI. This track shows how OpenAI, Dremio, Onehouse/Hudi, Doris, and StreamNative/Ursa make it real — including governance with Unity Catalog.

What you’ll learn

• Designing SAL architectures: bronze append-only vs. compacted silver/gold and when to choose each.
  
• Ingestion & concurrency at scale: non-blocking writers, CDC, and streaming compaction.
  
• Governance & catalogs: Iceberg with Unity Catalog and cross-engine access patterns.
  
• Engine choices: where Ursa, Flink, Dremio, Doris, and Hudi fit in end-to-end pipelines.
  

Highlights

• Dremio — Streaming with Apache Iceberg
• Motorq - Real-Time Lakehouse Ingestion with StreamNative’s Classic Engine and Ursa
  
• Apache Doris (VeloDB) — Unlocking Real-Time Insights: Apache Doris in Stream and Lakehouse Integration
  
• OpenAI — StreamLink: Real-Time Data Ingestion at OpenAI Scale
  
• Onehouse/Hudi — High-Throughput Streaming in the Lakehouse with Non-Blocking Concurrency Control in Apache Flink & Hudi
  
• Uber + Onehouse —Flink Streaming Ingestion to Cloud-Lake at Scale
  
• Kentra — Schema Management and Streaming Data Products
  

Who should attend

Data platform teams standardizing on Iceberg or Delta Lake, analytics leaders, and architects bridging batch + stream under one governance model.

Join us

Register for DSS SF 2025 (Sept 30) and bring your lakehouse questions. We look forward to seeing you there!