1d ago · 23 min read · If you’ve ever built data pipelines for analytics, feature extraction, or model training, you’ve probably noticed a pattern: scraping or ingestion is rarely your bottleneck. It’s that the pipeline tec
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1d ago · 5 min read · If you've ever wondered how AI applications can search through millions or even billions of vectors in a fraction of a second, you're not alone. At Endee, we spend a lot of time thinking about retriev
Join discussion1d ago · 3 min read · When scaling enterprise systems, the integration between your Customer Relationship Management (CRM) platform and your Enterprise Resource Planning (ERP) core is where most data architectures fracture
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2d ago · 13 min read · In Part 1, we established that "AI" is a goal, not a method and that Machine Learning is the dominant approach for reaching that goal today. We said ML systems learn from data instead of following han
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2d ago · 8 min read · Organizations continue to invest heavily in modern Business Intelligence (BI) platforms to create a single source of truth and enable data-driven decision-making. Among these platforms, Looker has eme
Join discussion2d ago · 20 min read · TL;DR: This pipeline uses dbt Core + DuckDB locally — no infrastructure — to normalize domains, deduplicate URLs, enforce data contracts via tests, and materialize four analyst-ready mart tables from
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