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How an LLM works: from your question to the first word
Tokens, attention, KV cache: opening the black box, diagram by diagram, to design better AI projects and keep their costs under control.
29 October 2026
DataOps: finally bringing DevOps practices to data engineering
CI/CD for data pipelines, Data Quality as Code, observability: the three pillars of DataOps, the tools (dbt, Great Expectations, Soda, Monte Carlo, OpenTelemetry) and Logbrain's recommended practices.
16 October 2026
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Data Mesh: beyond the hype, what actually works in the field
Data Mesh: the 4 principles, the 3 pitfalls that sink projects, and the success factors observed in banking, industry and retail. Lessons from Logbrain's field experience.
16 October 2026
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