Jeg skriver om data engineering, kode og verktøy.
I used Anthropic's new top model on a real project, this website. Here is what it did well, where it struggled, what it cost, and when I would pick it over Opus or Sonnet.
Understanding shuffle partitions, data skew, and when to repartition versus coalesce.
Moving beyond not_null and unique to tests that reflect your actual data contracts.
How to design a bronze, silver, gold lakehouse that stays maintainable as your data and team grow.
Practical patterns for writing Python code you'll actually want to maintain six months from now.
En gjennomgang av veien min til å bli dataingeniør, fra jeg skrudde sammen min første PC til jeg bygget Databricks-plattformer.