How to Boost a Cloud-Native Lakehouse with 2X Performance

Discover how to enhance a cloud-native lakehouse's performance by 200% in this 48-minute conference talk. Explore the challenges of using Apache Spark as a lake analysis engine on Kubernetes, including resource management, task scheduling, storage interconnection, elastic scalability, and high reliability. Learn from Shi Shaofeng, Chief Architect at Kyligence and Apache Kylin committer, as he shares insights on building a cloud-native lake analytics engine using open-source technologies such as Kubernetes, Spark, Gluten, Volcano, and Kyuubi. Gain valuable knowledge from Kyligence's experience serving various clients and their contributions to the open-source community in the realm of cloud computing and big data technology integration.