A Cat On A Horse & Actively Embracing Distributed Data Analytics
summary
Yellowbrick delivers the same SQL, massively parallel data warehouse deployed inside customer accounts on AWS, Azure, GCP or on‑prem, managed from a single control plane so teams keep full data custody. It targets thousands of users and multi‑petabyte estates (customers run ~10–12 PB) with hundreds of concurrent sessions, claims typical 3–4x query speed vs peers and reports 100–1000x gains on some legacy workloads. Key features: run anywhere, workload management with penalty boxing, streaming inserts/CDC and lower compute footprint.
AI-written summary · about
chapters (7)
- 0:00Introduction and welcome
- 1:29Cat on a horse prize question
- 2:53Distributed data is the new normal
- 7:25Introducing Yellow Brick solution
- 12:37Data product monitoring and scalability
- 16:52Performance and efficiency benchmarks
- 19:39Conclusion and call to action
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