May 11 · 2 min read · I've been working on a project that pulls environmental data from federal agencies — EPA, FEMA, USGS, CDC, Census, and about 45 others. Some things I ran into that might save you time: Federal APIs are wild No two agencies use the same format. EPA gi...
Join discussion
May 11 · 5 min read · The US government collects insane amounts of data about every ZIP code. Water violations, lead levels, radon zones, flood claims, wildfire risk, bridge conditions, air quality. All public. Also scattered across dozens of federal agencies in formats t...
Join discussion
May 7 · 2 min read · If you've been running AI/ML workloads on Kubernetes, you know how painful startup times can be. Loading large models into memory and initializing GPU state can take minutes, which really slows down scaling and recovery scenarios. Well, good news! Go...
Join discussion
May 7 · 3 min read · Most scraping guides focus on whether your request succeeds. That's the wrong metric. The real problem: your scraper might return HTTP 200 and still give you garbage. This is now standard practice at major retailers — they identify bot-like traffic a...
Join discussionMay 6 · 7 min read · Your business intelligence team has built something impressive. They have dashboards showing customer lifetime value by segment. They can tell you which cohorts are churning. They can correlate product features with retention. They've turned raw data...
Join discussion
May 6 · 6 min read · match keys between two tables and boom, you get results. That mindset worked fine in SQL databases. Then I started working with Spark on large datasets and my jobs started failing, timing out, or grinding for hours. The reality: Spark join performanc...
Join discussionMay 6 · 4 min read · s one thing I've noticed: most Spark pipelines waste 30-60% of their compute time reading data they don't need or shuffling data that could have been pre-organized. During my recent deep-dive, I spent 8 hours learning two important optimization techn...
Join discussionMay 5 · 7 min read · You write a query. The database runs it. You get your result. Simple, right? Not quite. Before your query ever runs, the database is already making decisions behind the scenes. It evaluates different
Join discussion
