Feature engineering

Concept

Feature engineering is the process of transforming raw data into input variables (features) for machine learning models, for example through cleaning, aggregation and encoding.

Title graphic: Feature engineering (Concept)

Type	Concept

Key points about Feature engineering

Gold tables carry feature engineering and are written as Delta tables with partitioning and Z-order. · Use Fabric Notebooks for Data Transformation…

Episodes about Feature engineering

Use Fabric Notebooks for Data Transformation and ML

2025-08-09 · Video on YouTube

Stop wrestling Power BI with endless clicks. Microsoft Fabric Notebooks let you prep, model, and feature-engineer data end-to-end—in Python or R—right inside your Lakehouse with Spark scale and Git governance. This guide shows a proven workflow: ingest to…

Articles about Feature engineering (2)

Accelerating Data Science Workflows with Azure Open Datasets
2026-08-27 · Mirko Peters
Welcome back to the podcast companion blog! As data scientists and analytics engineers, we spend an astronomical amount of our valuable time tracking down, cleaning…
Production-Grade Notebooks: Guardrails and Git Integration
2026-08-11 · Mirko Peters
Welcome back to the podcast companion blog! In this post, we are diving deep into how you can move beyond ad-hoc scripting by treating your Fabric notebooks like pr…

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Feed for this topic (RSS): entity/feature-engineering/feed.xml
M365.FM episodes on this topic: 1
Articles on this topic: 2

Maintained by Mirko Peters (Microsoft MVP) · Last updated: 2026-11-03