Optimizing Streaming Analytics with Apache Flink and Fluss скачать в хорошем качестве

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 _________________ 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/ _______________________ Follow Us Ververica: https://www.ververica.com/ Ververica Academy: https://www.ververica.academy/app X: https://x.com/VervericaData LinkedIn:   / ververica   GitHub: https://github.com/ververica _______________________ #apacheflink #flink #streamprocessing #streamhouse #bigdata #Ververica #ApacheFlink #streaminganalytics #realtimedata #Fluss © Copyright 2025 Ververica. Apache Flink®, Flink®, Apache®, the squirrel logo, and the Apache feather logo are either registered trademarks or trademarks of The Apache Software Foundation.