The Databricks Field Guide
A free, opinionated manual for the Databricks platform, written by the engineers who build on it for a living. What it is, what it replaces, what it costs, and how to run it in production — in plain language first and in depth second.
How it is written
Almost every chapter has to serve two people who want different things. Rather than writing two manuals, we marked the difference on the page.
Every chapter opens with a block titled The short version, written for someone who needs to understand what a thing is and why it matters without learning how it works. Read only those, front to back, and you are about twenty minutes from an accurate picture.
Everything after that block is for you. It goes basics first and then into the capabilities most people do not know exist, because a fair amount of the resistance we meet comes from comparing the platform against a half-remembered feature list.
What is inside
Storing, processing, analysing and serving, then operating it once it exists. Reading straight through builds a platform from the account downward — and almost nobody reads a manual that way, which is what the routes below are for.
01
6 chapters
02
6 chapters
03
4 chapters
04
7 chapters
05
5 chapters
06
6 chapters
07
3 chapters
Where to start
Start with the vocabulary, then spend an hour building something on the free tier. Those two define every term the rest of the manual leans on and get you to a working governed table without spending anything.
Three chapters, written to be read in order, and honest about when the answer is that you should stay where you are.
What Databricks Actually Is Why Not Just Postgres? What It Actually Costs
Start with the two decisions that are cheap now and expensive to change later.
Including how to show each customer only their own data, and the framing underneath both.
Reporting, Semantics and Power BI Multi-Tenant Reporting The Five Pillars
Who wrote it
TechFabric has been building software since 2017, and a large part of that work now lands on Databricks: migrations off legacy warehouses, governed agent platforms, and more than a few proofs of concept taken from a notebook that worked on a Tuesday to something a business could depend on. The opinions here are what we accumulated doing it — some of them the obvious ones every good team converges on, some of them the result of getting it wrong first.
It is honest about the places a simpler tool or another cloud is the better answer, because a recommendation you cannot trust to say no is not a recommendation.