Feb 08, 2026 • 10 min read
Building Agent-Ready Data Pipelines with dbt and the Cloud
A practical guide to creating AI-ready datasets using dbt and cloud data platforms.
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Practical notes from building revenue data platforms, scaling analytics, and enabling self-serve insights.
Feb 08, 2026 • 10 min read
A practical guide to creating AI-ready datasets using dbt and cloud data platforms.
Continue readingFeb 07, 2026 • 6 min read
Learn how to prepare, clean, and enrich data so AI agents can retrieve accurate context and avoid hallucinations.
Continue readingFeb 01, 2026 • 1 min read
Lessons from launching Shopify's Revenue Data Engineering team and shaping a platform that serves every revenue motion.
Continue readingDec 10, 2025 • 6 min read
How schema design, metadata, and semantic layers shape the performance of AI-assisted analytics.
Continue readingOct 05, 2025 • 7 min read
How semantic layers, data quality, and enablement turn self-serve analytics into a reliable platform for humans and AI agents.
Continue readingOct 02, 2024 • 6 min read
How to make LLM-powered analytics useful, safe, and adopted by business teams.
Continue readingJul 12, 2024 • 1 min read
A practical blueprint for revenue data platforms that stay reliable while the business grows.
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