Talks & Presentations
Talks and presentations about Apache Fluss from conferences, meetups, and community events.
Fluss: A Streaming Storage for Real-Time Lakehouse
Jark Wu • Carnegie Mellon Future Data Systems Seminar Series 2025 • December 2025
This seminar session explores Fluss as the foundation of a Streaming Lakehouse model, where real-time data in Fluss and historical data in Lakehouse (Iceberg) are seamlessly unified for truly real-time analytics. Built on Apache Arrow, Fluss provides the columnar streaming storage and sub-second ingestion that make this unified model possible.
The Seven Deadly Sins of Streaming
Giannis Polyzos • Big Data Conference Europe 2025 • December 2025
Exploring the Streaming Lakehouse model—powered by Fluss’s columnar streaming storage—addresses the “Seven Deadly Sins of Streaming,” from redundant data copies and unqueryable streams to stale lakehouse data and costly architectures. By unifying streaming and lakehouse systems through streaming tables, Fluss enables real-time dashboards, streaming ETL, and Customer 360 use cases within a single, modern architecture that delivers fresher, more efficient real-time analytics.
Streaming Down the Fluss: Taming CDC Streams with Fluss, Fluss, and Paimon
Dominik Žnidaršič • Flink Forward 2025 • November 2025
This session explores how real-time data processing extends far beyond ingestion, focusing on what happens after the CDC stream lands. It offers a practical look at building a real-time lakehouse pipeline by integrating Flink, Fluss, and Paimon to deliver fast, efficient, and usable end-to-end analytics.
Fluss: Making Your Lakehouse Truly Real Time
Jark Wu • Flink Forward 2025 • November 2025
Exploring how Fluss bridges data streaming and the Lakehouse (Iceberg) by serving real-time data directly on top of it, enabling powerful analytics on streams while delivering low-latency updates to Iceberg—effectively transforming it into a Real-Time Lakehouse. We’ll close with real-world use cases that showcase how Fluss powers Real-Time Lakehouses and fuels the next generation of AI-driven applications.
Apache Fluss and The Seven Deadly Sins of Streaming
Giannis Polyzos • Flink Forward 2025 • November 2025
Exploring how Apache Fluss addresses the “seven deadly sins” of streaming by introducing streams-as-tables that unify streaming and lakehouse systems, unlocking modern real-time analytics use cases such as real-time dashboards, streaming ETL, and Customer 360—all within a single, cohesive architecture.
Fluss: Redefining Streaming Storage for Real-Time Data Analytics and AI
Jark Wu • Flink Forward Asia 2025 • July 2025
Exploring Fluss's core architecture and key technological breakthroughs, covering deep integration with Apache Flink, streaming and Lakehouse architecture fusion, and support for multimodal AI data pipelines.
Webinar: Fluss 0.7 - A New Stream of Possibilities
Giannis Polyzos, Jark Wu & Mehul Batra • Community Webinar • June 2025
Deep dive into the new features and capabilities introduced in Fluss 0.7, including enhanced stability, new streaming lakehouse architecture, and enterprise-grade security features.
Fluss: Reinventing Kafka for the Real-Time Lakehouse
Jark Wu • Data Streaming Summit • June 2025
The session addresses the limitations of Kafka in creating real-time lakehouses necessary for modern AI applications. Fluss is introduced as a novel system built from scratch to integrate seamlessly with Lakehouse architectures.
Fluss: The Unified Streaming Storage for Next-Generation Data Analytics
Giannis Polyzos & Jark Wu • The Ravit Show • December 2024
Interview discussing Fluss's announcement at Flink Forward Berlin 2024, covering the unified streaming storage approach and its implications for next-generation data analytics.