The Semantic Layer Generator: When Agentic AI Meets Data Architecture
How a 5-phase autonomous pipeline eliminates weeks of manual data modelling — and why it matters for every analytics team shipping at scale.
Data Architecture · Data Engineering · AI Engineering
Diagram-first deep dives on designing data platforms, building reliable pipelines and shipping AI systems to production.
New The Semantic Layer Generator: When Agentic AI Meets Data ArchitectureLatest
How a 5-phase autonomous pipeline eliminates weeks of manual data modelling — and why it matters for every analytics team shipping at scale.
How to apply Agentic AI principles and processes to ease the frictions of the current state of data engineering
Retrieval-augmented generation is easy to demo and hard to run. A walkthrough of the offline indexing path, the online query path and the evaluation loop that ties them together.
Retries and backfills are inevitable. Design pipelines so that running them twice gives exactly the same result as running them once.
How to structure raw, refined and curated layers so a lakehouse stays trustworthy, debuggable and cheap to evolve.
Topics
Lakehouses, warehouses, data mesh, modelling and the design decisions behind modern data platforms.
2 articles
Pipelines, streaming, orchestration, data quality and the craft of moving data reliably at scale.
2 articles
LLM applications, RAG, agents, evaluation and MLOps — putting AI systems into production.
1 article
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