Open Source Data Lakehouse Architecture with Spark and Kyuubi - Engineering Deep Dive

Explore a comprehensive 53-minute webinar that provides an engineering deep dive into building open source data lakehouse architecture using Apache Spark and Apache Kyuubi. Discover how Canonical implements this architecture to enable efficient, secure, and high-performance analytics on unified datasets through Spark's scalable processing engine combined with Kyuubi's user-friendly SQL gateway. Learn about the practical implementation of data lakehousing, including how this combination simplifies big data storage, interactive analytics, and ETL processes within a single, streamlined open source lakehouse framework. Examine Canonical's reference architecture for creating a truly open source data lakehouse, understand the benefits of cloud-native data lakehouse solutions, and gain insights into the various services that support this architecture. The webinar includes an extensive hands-on demonstration showcasing the open source data lakehouse in action, covering charming components, architectural integrations, and practical implementation strategies for organizations looking to adopt this modern data architecture approach.