https://philliant.com/tags/data-engineering/Recent content in Data Engineering on philliantHugo -- gohugo.ioen© 2026 philip mathew hernThu, 02 Apr 2026 17:44:14 -0700https://philliant.com/posts/20260402-how-i-use-cursor-and-ai-agents-to-write-dbt-tests-and-documentation/Thu, 02 Apr 2026 17:44:14 -0700https://philliant.com/posts/20260402-how-i-use-cursor-and-ai-agents-to-write-dbt-tests-and-documentation/writing dbt tests and documentation is often the most neglected part of data engineering. i will show you how i use cursor and ai agents to automate this process, ensuring high-quality data pipelines without the manual overhead.https://philliant.com/posts/20260402-the-future-of-data-engineering-workflows-with-ai/Thu, 02 Apr 2026 17:44:14 -0700https://philliant.com/posts/20260402-the-future-of-data-engineering-workflows-with-ai/data engineering is evolving rapidly with the integration of artificial intelligence. i will explore how ai agents, large language models, and automated workflows are transforming the way we build, maintain, and scale data platforms.https://philliant.com/posts/20260330-dbt-tests/Mon, 30 Mar 2026 16:34:36 -0700https://philliant.com/posts/20260330-dbt-tests/dbt tests are one of the highest-leverage habits in analytics engineering, but they are often underfunded in real projects. this post explains how i use generic and singular tests, what to prioritize first, and a few practical examples you can copy today.https://philliant.com/posts/20260330-dbt-docs/Mon, 30 Mar 2026 04:39:08 -0700https://philliant.com/posts/20260330-dbt-docs/dbt docs are one of the most overlooked features in a dbt project, but they are one of the most valuable for teammates who consume data without building it. i walk through how they work, what options matter, and how to host them for free on github pages.https://philliant.com/posts/20260328-the-difference-between-snowflake-and-the-other-databases/Sat, 28 Mar 2026 04:49:27 -0700https://philliant.com/posts/20260328-the-difference-between-snowflake-and-the-other-databases/when you first step into data engineering, the sheer number of database options can be overwhelming. i break down how snowflake compares to traditional relational databases like rds and nosql options like dynamodb, focusing on when to use each and how they scale.