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- Latest
- 2026-10-29
- Based on
- 12 recent issues
- Covers: Data engineering tools, architecture, SQL, Power BI data modeling, platform comparisons, and AI coding practices.
- For: Data engineers, data architects, and analysts looking to improve technical skills.
- Best for: Data professionals seeking visual explanations and practical guides for modern data stacks.
- Skip if: People with no interest in data engineering, data modeling, or writing code.
Start with
- How I Use Claude Code as a Data Engineer (The Toolkit): Explains how to integrate Claude Code into daily data engineering development workflows.
- The Big Three: Databricks vs Snowflake vs Fabric: Compares key enterprise data platforms to help professionals understand which tools to learn.
- Where Should Your Calculations/Transformations Live?: Guides where to place calculation logic across SQL, pipelines, and reporting tools.
Sponsors seen
- dbt LabsSponsor
Install dbt Wizard CLI https://fandf.co/46ydbQD (sponsored by dbt Labs)
Coding With AI: My Experience So Far · 2026-09-29 - TinybirdSponsor
Start free with Tinybird: https://fandf.co/4cFUrCd (sponsored by Tinybird)
Will AI Replace You? · 2026-09-22 - dbt LabsSponsor
Drawing on insights from hundreds of analytics and data professionals, this report examines the trends, priorities, and practices defining the next generation of data teams. Read the dbt Labs report
AI Agents Explained: I handed my worst morning job to AI · 2026-07-01