ssanjaychandra123/data-engineering-patterns
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概要
600+ free patterns and concepts for data engineers on Azure Databricks, Microsoft Fabric, and PySpark. 12 books covering the full stack. Free forever.
データREADME.md
オリジナルData Engineering Patterns
Free handbooks, cheat sheets, and pattern books for Microsoft Fabric, Azure Databricks, PySpark, and SQL, drawn from real data platform engagements. Each one explains how the platform actually works and which decision to make in production.
One home for all of my data engineering material, with more platforms and tools added over time. Star the repo and check back as it grows.
Microsoft Fabric
What each Fabric feature is, how it behaves in production, and how to design with it. One handbook that replaces the five Fabric Engineering Patterns books.
| Title | Download |
|---|---|
| The Fabric Practitioner's Handbook 4.0 | Download PDF |
Azure Databricks
What each Azure Databricks feature is, how it behaves in production, and how to design with it, from storage and Unity Catalog through Delta Lake, compute and jobs to security, cost and ML. One handbook that replaces the seven Azure Databricks Engineering Patterns books.
| Title | Download |
|---|---|
| The Azure Databricks Practitioner's Handbook 4.0 | Download PDF |
PySpark
How Spark thinks and runs on Databricks and Fabric, with a figure for every concept, plus a cheat sheet of code to keep open while you work.
| Title | Download |
|---|---|
| The PySpark Practitioner's Handbook 4.0 | Download PDF |
| PySpark Cheat Sheet 4.0 | Download PDF |
SQL
How SQL thinks and runs on Fabric Warehouse and Databricks SQL, with a figure for every concept, plus a cheat sheet that puts T-SQL and Spark SQL side by side.
| Title | Download |
|---|---|
| The SQL Practitioner's Handbook 4.0 | Download PDF |
| SQL Cheat Sheet 4.0 | Download PDF |
Archive
The earlier Fabric and Azure Databricks pattern books, plus a community interview guide, are kept in the Archive folder for reference. These old Fabric and Azure Databricks books are no longer updated.
Found a gap or something that has moved on? Open an issue. These platforms evolve quickly and I keep the material current. Compiled with Claude by Anthropic as a writing and research assistant. Every page was reviewed, edited and validated by Sanjay Chandra.
Sanjay Chandra builds and advises on enterprise data platforms. If your team is wrestling with one of these problems at scale, let us talk.
WhatsApp Fabric II CoE Group Link
WhatsApp Databricks CoE Group Link