2 篇文章 含有標籤「dbt」

When your team starts relying on data for daily operations and decision-making, trust becomes the foundation. But what does it mean to “trust the data”? And how do you build a system where data is accurate, timely, and easy to understand?

This article summarizes the ideas I shared in a recent internal tech talk, designed for both engineers and non-engineers alike.

In recent years, the field of data engineering has undergone significant transformations. Tools like dbt (data build tool) have emerged as vital components of modern data engineering workflows. These technologies not only optimize how data teams operate but also enable collaboration across diverse roles, including data engineers, analysts, project managers, and stakeholders. This article, based on my experience and a recent talk, explores how data engineering has evolved, why dbt has gained traction, and how it addresses pain points in data workflows.