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…
Strategic Center of Excellence For
The release of consumer health tools by OpenAI and Anthropic in recent weeks marks a significant shift in the global…
A recent report from Computer Weekly revealed a staggering statistic: 77% of security professionals have witnessed employees exposing corporate data…
Ironically in the age of AI the value of data increases even more than the big data era. Effective data…
As organisations move more workloads to Microsoft Fabric, predictable cost becomes a governance problem as much as an engineering one….
Introduction Managing capacity in Microsoft Fabric goes beyond provisioning the right SKU — it’s about understanding how that capacity behaves…
As Microsoft Fabric matures into a production-grade analytics platform, the concept of capacity becomes central to how organizations plan, operate,…
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