Optimizing Streaming Analytics with Apache Flink and Fluss
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: https://cwiki.apache.org/confluence/d...
-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: https://github.com/alibaba/fluss
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About Ververica
Ververica, the original creators of Apache Flink®, empowers businesses with high-performance data streaming and processing solutions. Streamlining operations, developer efficiency, and enabling customers to solve real-time use cases reliably and securely. Ververica’s advanced Streaming Data Platform, powered by its cloud native VERA engine, revolutionizes Apache Flink®, making it easy for organizations to harness data insights at scale. With Ververica, customers can meet any business SLA, leveraging advanced data streaming and processing capabilities in real-time or on the lakehouse. Ververica enables businesses to connect, process, govern, and analyze data, across infinite use cases, with flexible deployment options, including public cloud, private cloud, or on-premise environments. Discover more at https://www.ververica.com/
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