Anomaly detection in images using PatchCore — by Toon Van Craenendonck

Anomaly detection typically refers to the task of finding unusual or rare items that deviate significantly from what is considered to be the “normal” majority. In this blogpost, we look at image anomalies…

A closer look at Microsoft Fabric pricing, billing, and autoscaling — by Sam Debruyn

If you’re considering using Microsoft Fabric, you’re probably thinking “How much is this going to cost me?” Continue reading to learn how Microsoft might have just created the most…

Fine-tuning BERT for an unbalanced multi-class classification problem — by Antoine Caytan

Fine-tuning BERT for an unbalanced multi-class classification problem

Predicting the team…

Data preparation for a Q&A application powered by LLM — by Andrea Benevenuta

Large Language Models (LLMs) have recently emerged as a groundbreaking advancement in the field of natural language processing. These models are designed to comprehend and generate human-like text…

Fabric end-to-end use case: Analytics Engineering part 1 — dbt with the Lakehouse — by Sam Debruyn

Welcome to the fourth part of a 5-part series on an end-to-end use case for Microsoft Fabric. This post will focus on the analytics engineering part of the use…

How to use service principal authentication to access Microsoft Fabric’s OneLake — by Sam Debruyn

Microsoft recently added support to authenticate to OneLake using service principals and managed identities. This allows users to access OneLake from applications…

Preparing a migration to Microsoft Fabric: from Azure Synapse Serverless SQL — by Sam Debruyn

If all those posts about Microsoft Fabric have made you curious, you might want to consider it as your next data platform. Since it is very new, not all features are…