Most data platforms don’t fail because of tooling. They stall because raw, messy inputs are rushed straight into analytics, each…
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Data and AI
We are specialist Microsoft partners, building the critical data platforms on Fabric and Azure AI that power business intelligence and drive the next generation of Agentic AI.
Connecting AI Agents to Microsoft Fabric with GraphQL + MCP
TL;DR: Microsoft Fabric’s built-in API for GraphQL plus the Model Context Protocol (MCP) let organisations safely attach conversational AI agents…
Data Factory in Fabric (Aug 2025): The upgrades you should
TL;DR August brings four Data Factory upgrades that remove orchestration friction and lower time-to-value for governed ingestion in Fabric: Copy job multi-schedule…
How Customer Managed Keys (CMKs) help Compliance in Microsoft Fabric
TL;DR Microsoft Fabric now lets you encrypt selected workspaces with your own keys in Azure Key Vault (CMK). You keep ownership…
How Fabric’s new Azure Databricks mirroring speeds up Enterprise Adoption
Microsoft Fabric now lets you mirror Azure Databricks Unity Catalog (UC) into OneLake. That means BI teams can build Power…
Data Governance in Microsoft Fabric with Purview
“Data is a precious thing and will last longer than the systems themselves.” – Tim Berners-Lee Data today powers business decisions,…
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An Actionable Guide to Adopting Medallion Architecture with Fabric
Most data platforms don’t fail because of tooling. They stall because raw, messy inputs are rushed straight into analytics, each team patches problems locally, and every dashboard bakes in a different truth. The Medallion Architecture fixes this by introducing deliberate layers of quality—Bronze (raw), Silver (cleaned/standardized), Gold (business-ready)—and by making ownership and change management explicit.…
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Connecting AI Agents to Microsoft Fabric with GraphQL + MCP
TL;DR: Microsoft Fabric’s built-in API for GraphQL plus the Model Context Protocol (MCP) let organisations safely attach conversational AI agents to the organisation’s canonical data estate, delivering faster business insights, shorter time-to-value, and governed automation. For CIOs, this is less about one off experiments and more about a repeatable platform pattern: Unified data (OneLake) →…
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Data Factory in Fabric (Aug 2025): The upgrades you should actually use
TL;DR August brings four Data Factory upgrades that remove orchestration friction and lower time-to-value for governed ingestion in Fabric: Related platform update worth noting: On-premises Data Gateway (Aug 2025) adds features that help Fabric pipelines—e.g., Lakehouse connector, data consistency improvements in Copy Activity, and Entra ID support for PostgreSQL. Why these matter (business value, not…
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How Customer Managed Keys (CMKs) help Compliance in Microsoft Fabric
TL;DR Microsoft Fabric now lets you encrypt selected workspaces with your own keys in Azure Key Vault (CMK). You keep ownership of the cryptographic root of trust—rotation, audit, and revocation—on top of Microsoft’s default encryption. Practically, that means fewer audit exceptions, clearer incident response, and a stronger data-governance story when rolling Fabric out at scale.…
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How Fabric’s new Azure Databricks mirroring speeds up Enterprise Adoption
Microsoft Fabric now lets you mirror Azure Databricks Unity Catalog (UC) into OneLake. That means BI teams can build Power BI Direct Lake models over your existing Delta tables, without copying data and you get an auto-generated SQL analytics endpoint for ad-hoc analysis. Net effect: weeks-to-days onboarding for Fabric, while your engineering and ML stay…
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Data Governance in Microsoft Fabric with Purview
“Data is a precious thing and will last longer than the systems themselves.” – Tim Berners-Lee Data today powers business decisions, drives customer engagement, and fuels AI innovations. But here’s the catch: without proper data governance, your data can become a liability instead of an asset. If you’re using Microsoft Fabric, you already know it’s…
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Mastering Your Data Management Strategy
“More than 70% of employees have access to data they shouldn’t, and 80% of analysts’ time is wasted just preparing data.” – Harvard Business Review Data is your company’s most valuable asset. Yet, without a structured data management strategy, that asset quickly turns into a liability. Inconsistent, siloed, or unsecured data can lead to poor…
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Real-Time Data Ingestion 101: A Comprehensive Guide
Whether it’s fraud detection in banking, predictive maintenance in manufacturing, or personalized recommendations in e-commerce, real-time data ingestion plays a critical role in making instant, data-driven decisions. This guide explores what real-time data ingestion is, why it matters, when to use it, the different approaches available, and how Microsoft Fabric enables real-time data processing at…
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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 amounts of knowledge. However, to gain a true competitive edge, companies need AI that understands their specific domain, customers, and internal processes—which means high-quality, proprietary…
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