As organisations move more workloads to Microsoft Fabric, predictable cost becomes a governance problem as much as an engineering one. Fabric’s unified capacity model (Capacity Units / CUs, purchased as…
AI-Ready Data Governance in Microsoft Fabric with Purview
AI succeeds or fails on the trustworthiness of its data. In Microsoft Fabric, governance isn’t a layer added at the end—it’s the connective tissue that binds ingestion, transformation, analytics, and…
How Medallion Architecture Prepares Your Data for AI Workflows
Most AI initiatives don’t stall on models—they stall on data. The gap isn’t “which LLM?” or “which AutoML?” so much as “can the organization deliver trustworthy, governed, and semantically consistent…
How to Build an AI-Ready Data Foundation
The rise of large language models (LLMs) has given some businesses the impression that training data is no longer a critical factor. After all, these models come pretrained with vast…
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TL;DR: Microsoft Fabric’s built-in API for GraphQL plus the Model Context Protocol (MCP) let organisations safely attach conversational AI agents…
TL;DR August brings four Data Factory upgrades that remove orchestration friction and lower time-to-value for governed ingestion in Fabric: Related…
TL;DR Microsoft Fabric now lets you encrypt selected workspaces with your own keys in Azure Key Vault (CMK). You keep…
Microsoft Fabric now lets you mirror Azure Databricks Unity Catalog (UC) into OneLake. That means BI teams can build Power…
“Data is a precious thing and will last longer than the systems themselves.” – Tim Berners-Lee Data today powers business…
“More than 70% of employees have access to data they shouldn’t, and 80% of analysts’ time is wasted just preparing…
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