Testing Claude Code's ability to build a production-ready dbt project for a data pipeline, evaluating prompts and skills.
Explores the current capabilities and limitations of using Claude Code (AI) to build a dbt project, arguing it won't replace data engineers yet.
A technical demonstration of using Claude Code AI to autonomously debug and adapt dbt data models by analyzing data anomalies.
Explores implementing a data mesh architecture using dbt, outlining how dbt Mesh projects can align with data mesh principles for large-scale organizations.
A profile of a Senior Analytics Engineer specializing in dbt, data mesh architecture, and applying library science principles to modern data teams.
A guide explaining dbt macros, their purpose, benefits, and how to use them to write reusable, standardized SQL code in data transformation projects.
Part 1 of a series on data warehouse transformation flows, building intuition for analytics engineers and data professionals.
An introduction to analytical data warehouses, explaining their purpose, differences from transactional databases, and their role in team-based analytics.
Explores the shift to ELT in data engineering, focusing on modern tools like dbt, Fivetran, and Airbyte for loading and transforming data.
A technical walkthrough of using dbt and DuckDB to clean and analyze session feedback data from a tech conference.
A hands-on exploration of using dbt (data build tool) with DuckDB for local data engineering, based on a tutorial project.
Explains the evolution from ETL to ELT in data engineering, clarifying the role of modern tools like dbt in the transformation process.
A curated list of essential resources for data engineering, including articles, newsletters, podcasts, and tools.
