Real-time data engineering for the blockchain era. This is the essay that started the series — the case for why blockchain data is categorically different from traditional data, and why that difference demands a new stack built from the ground up.
Read on Substack ↗Real-time data engineering for the blockchain era — some vocabulary. Before you can build the stack, you need to speak its language. Blocks, slots, epochs, finality, reorgs, mempool, uncle blocks: a precise glossary that every engineer on the team should memorise.
Read on Substack ↗The Real-Time Blockchain Data Stack, going layer-by-layer from node to dashboard. Your full node is not infrastructure — it is epistemology. Everything downstream is only as trustworthy as the node feeding it. This essay covers sync modes, archive depth, and why running your own node changes everything.
Read on Substack ↗From chaos to signal. The mempool is the only place where you can see a transaction before it is final. Twelve seconds of alpha, if you can parse it fast enough. This essay builds the ingest layer that turns pending chaos into structured opportunity.
Read on Substack ↗Real-time blockchain data engineering, from chaos to canonical truth. Stream processing is where raw events become facts. This essay maps every transformation decision — windowing, watermarks, exactly-once semantics — back to the realities of the EVM.
Read on Substack ↗Blocks don't wait. Your features shouldn't either. From raw events to trustworthy, low-latency features — a deep dive into building feature stores that respect chain time, not wall-clock time.
Read on Substack ↗Real-time blockchain data engineering for the dashboards people actually trust. A dashboard that ignores finality is a dashboard that lies. Here is how to bake reorg awareness into every chart and metric.
Read on Substack ↗Freshness, finality, and completeness — you can prove all three, measured block by block. An unobserved pipeline is a guess. Here is how to instrument every layer so silence becomes signal.
Read on Substack ↗A practical blueprint for finality-aware, reorg-resilient on-chain analytics that move at block speed. Everything converges here — the nodes, the streams, the stores, the dashboards — into a single operating principle: match the cadence of the chain.
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