
The Complete Databricks Learning Roadmap for 2026
What to learn, what to skip, and the right order to master Databricks.
A newsletter dedicated to talking about data engineering, AI, and data science trends
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What to learn, what to skip, and the right order to master Databricks.

You are the product owner for data. (Part 3 of our DE essentials series)

RAG and note takers won't save your business

Our behavior needs to update faster than our tech

Dimensional Modeling is dead

A walk through of the most important file format to ever exist

Databricks abstracts away almost all of the data engineering skills. Liquid clustering is the first place where things will get messy!

And how to avoid getting replaced

And so can you

A practical guide for Data Engineers

Date stamp your data!

Storage is cheap, your time is not!

Getting a data engineering job is complicated.

Landing a role in big tech and “grinding leetcode” have gone together like peanut butter and jelly for the last ten years.

You Don't Always Need A Sledgehammer

At midnight on September 16th, Jason Reid (data engineering advocate at Databricks) messages me on LinkedIn saying, “Tabular will be sunsetted in 24 hours.

How to become a Solutions Architect, Mastering the Foundations of Cybersecurity and the Absolute Basics in Data Engineering

Building, Scaling and Thinking in the Age of AI

Data Orchestration Challenges I Faced at Airbnb, Netflix & Facebook – Part IV

Data Orchestration Challenges I Faced at Airbnb, Netflix & Facebook – Part III