Join Giannis Polyzos, Ververica's Staff Streaming Product Architect, as he introduces Fluss, the next evolution of streaming storage built for real-time analytics. 

Discover how Apache Flink®, the industry-leading stream processing engine, paired with Fluss, a high-performance transport and storage layer, creates a powerful, cost-effective, and scalable solution for modern data streaming. 

🔍 In this session, you'll explore: 

• Fluss: The Next Evolution of Streaming Analytics
• Value of Data Over Time & Why It Matters
• Traditional Streaming Analytics Challenges
• Event Consolidation & Stream/Table Duality 
• Tables vs. Topics: Storage Layers & Querying Data
• Changelog Generation & Streaming Joins: FLIP-486 
• Delta Joins & Lakehouse Integration 
• Streaming & Lakehouse Unification 

📌 Learn why streaming analytics require columnar streams, and how Fluss and Flink provides sub-second read/write latency that offers 10x read throughput improvement over row-based analytics. 

Subscribe to stay updated on real-time analytics & innovations! 🔗 Join the Fluss community on GitHub

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