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

Subscribe. Fuel your curiosity. 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.

LTS vs. upgrades: which future are you building for?

How should businesses decide between sticking to an LTS release or moving to a continuous upgrade model? In this episode, we explore the trade-offs, from stability and security to innovation and agility, and why flexibility in your upgrade policy is key to long-term success. We break down when LTS makes sense, when frequent upgrades deliver the most value, and how to balance both to keep your business secure, stable, and ready for what’s next.

Getting closer to space with Canonical #ubuntu #space #shorts

@EuropeanSpaceAgency is scaling to support more missions than ever. Canonical makes it possible with open source infrastructure built for space. Watch the full video to see how we're helping ESA automate, scale, and future-proof its operations. Subscribe for more tech stories from space.

Running AI without blowing up your storage

Storage is often underestimated: In infrastructure discussions, compute and networking get most of the attention, while storage is treated as secondary. For AI workloads, that can be a costly oversight. Data throughput for specialized hardware: AI infrastructure powered by GPUs can process massive volumes of data at unprecedented speeds. This puts immense pressure on the storage system to keep up. Scale-out performance: An on-prem, scale-out, software-defined storage setup allows you to meet high performance demands, grow capacity as needed, and stay in control of infrastructure costs.