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UID:pretalx-devconf-cz-2026-M7P9G9@pretalx.devconf.info
DTSTART;TZID=CET:20260618T153000
DTEND;TZID=CET:20260618T160500
DESCRIPTION:Forecasting demand for thousands of fashion items across 20 bra
 nds is hard. Doing it with siloed\, inconsistent data is nearly impossible
 . At Bestseller\, we solved this by building a self-service data analytics
  platform grounded in strong opinions held loosely: clear engineering stan
 dards balanced with flexibility.\n\nWith a team of just three engineers\, 
 we built\, rebuilt\, and now operate a platform serving more than 1000 use
 rs across data engineering\, data science and commercial roles.\n\nThis ta
 lk shares how we applied DevOps principles and software engineering practi
 ces to [Terraform](https://developer.hashicorp.com/terraform)\, [Snowflake
 ](https://www.snowflake.com/en/)\, [dbt](https://www.getdbt.com/) and [Air
 flow](https://airflow.apache.org/) to create reusable data products at sca
 le. You’ll learn the architectural decisions that worked\, the ones that
  didn’t\, and how maintaining firm-but-flexible opinions helped us survi
 ve fast growth and changing requirements.
DTSTAMP:20260430T131304Z
LOCATION:D0206 (capacity 154)
SUMMARY:Building a data analytics platform on strong opinions held loosely 
 - Ivica Kolenkaš
URL:https://pretalx.devconf.info/devconf-cz-2026/talk/M7P9G9/
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