Open Source Data Lakehouse Architecture with Spark and Kyuubi: Engineering Deep Dive
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This webinar gives a detailed exploration of an open source data lakehouse architecture and how we implement it at Canonical.
Watch to 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. Let’s dig deeper into how this combination simplifies big data storage, interactive analytics, and ETL – all through a single, streamlined open source lakehouse architecture.
In this 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
Learn more or contact our team: https://canonical.com/data/spark
Time codes:
00:00 - 02:25 introduction
02:25 - 05:45 charming components
05:45 - 08:01 data lakehouse architecture
08:01 - 08:59 integrations
08:59 - 12:35 data lakehouse overview
12:35 - 14:50 benefits of cloud-native data lakehouse
14:50 - 16:50 services for the data lakehouse
16:50 - 48:20 demo: open source data lakehouse
48:20 - 52:59 closing words