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Open source data lakehouse architecture with Spark and Kyuubi – an engineering deep dive

Presented by

Giulia Lanzafame, Big Data Product Manager; Paolo Sottovia, Tech Lead; Bikalpa Dhakal, Software Engineer; Alex Batisse, Software Engineer;

About this talk

A detailed exploration of an open source data lakehouse architecture and how we implement it at Canonical. Join us for an engineering deep dive exploring how Apache Spark and Apache Kyuubi work together to power open source data lakehouses. Discover how Spark’s scalable processing engine and Kyuubi’s user-friendly SQL gateway enable efficient, secure, and high-performance analytics on unified data sets. We’ll dig deeper into how this combination simplifies big data storage, interactive analytics, and ETL – all through a single, streamlined open source lakehouse architecture In our webinar you will learn more about: Apache Spark and Apache Kyuubi Data lakehousing practical implementations Our reference architecture for a truly Open Source data lakehouse We will also have a live Q&A where you’ll be able to ask our experts questions on the architecture.
Ubuntu and Canonical

Ubuntu and Canonical

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