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Field notes from building with data and AI

Automating Microsoft Fabric Capacity Scaling: Four Ways to Do It

Featured · Data · 12 min

Automating Microsoft Fabric Capacity Scaling: Four Ways to Do It

A hands-on guide to automating Microsoft Fabric capacity scaling: Logic Apps, Automation runbooks, Azure Functions, and Fabric Activator.

Jul 29, 2026
Data Governance in Microsoft Fabric: A Practical Framework

Data · 8 min

Data Governance in Microsoft Fabric: A Practical Framework

Govern data in Microsoft Fabric with domains, the OneLake catalog, sensitivity labels, lineage, and Purview, in a simple framework you can run.

Jul 22, 2026
Ontologies vs Semantic Models: What They Mean for Data Agents and Power BI

Data & AI · 9 min

Ontologies vs Semantic Models: What They Mean for Data Agents and Power BI

An ontology and a Power BI semantic model are not the same thing. Here is what each does, when to use which, and why the pairing makes data agents trustworthy.

Jul 9, 2026
From P to F: Migrating Power BI Premium to Fabric Capacity

Data · 11 min

From P to F: Migrating Power BI Premium to Fabric Capacity

Power BI Premium P SKUs are retiring and Fabric F SKUs are taking over. Here is what is changing, the timeline, the SKU map, and how to migrate cleanly.

Jul 6, 2026
Microsoft IQ: The Intelligence Layer Behind Enterprise Agents

AI · 6 min

Microsoft IQ: The Intelligence Layer Behind Enterprise Agents

Microsoft IQ turns your company's scattered knowledge into agent-ready intelligence. Here is how Work IQ, Fabric IQ, Foundry IQ, and Web IQ fit together.

Jun 26, 2026
Data Governance with Microsoft Purview

Data · 6 min

Data Governance with Microsoft Purview

How Microsoft Purview's Unified Catalog turns a sprawling data estate into governed, discoverable data products, with governance domains, data quality, and self-service access.

May 15, 2026
Agent-Ready Data: Why Dashboard-Ready Data Is No Longer Enough

AI · 5 min

Agent-Ready Data: Why Dashboard-Ready Data Is No Longer Enough

AI agents raise the bar on data readiness. The five layers of the agent-ready data stack that take data from dashboard-ready to trustworthy enough for AI to act on.

May 5, 2026
Real-Time Event Streaming in Microsoft Fabric: How It Works, What You Need, and How to Set It Up

Data & AI · 4 min

Real-Time Event Streaming in Microsoft Fabric: How It Works, What You Need, and How to Set It Up

Learn how real-time event streaming works in Microsoft Fabric, including Event Streams, Eventhouse, KQL, and Power BI, with a step-by-step setup guide for real-time analytics.

Mar 18, 2026
Fabric IQ, Fabric Data Agents, Azure AI Foundry, and MCP: How They Work Together

AI · 5 min

Fabric IQ, Fabric Data Agents, Azure AI Foundry, and MCP: How They Work Together

How Fabric IQ, Fabric Data Agents, Azure AI Foundry, and MCP fit together in enterprise AI architectures, and when the Model Context Protocol is actually required.

Feb 24, 2026
Understanding MCP: What the Model Context Protocol Actually Does

AI · 5 min

Understanding MCP: What the Model Context Protocol Actually Does

A clear, practical guide to understanding the Model Context Protocol (MCP), how it works in AI agents, and when modern data teams actually need it.

Feb 23, 2026
Attention Mechanism: The Secret Behind How Transformers Think

AI · 3 min

Attention Mechanism: The Secret Behind How Transformers Think

How the attention mechanism lets a Transformer weigh every word against every other word to build context, explained with a simple queries, keys, and values analogy.

Feb 20, 2026
Feed-Forward Networks: How Transformers Refine What They Learn

AI · 3 min

Feed-Forward Networks: How Transformers Refine What They Learn

The feed-forward network is the quiet workhorse inside every Transformer layer. Here is how it expands, adds nonlinearity, and refines what attention learns.

Feb 20, 2026
Multi-Head Attention: How Transformers Think in Parallel

AI · 3 min

Multi-Head Attention: How Transformers Think in Parallel

Why Transformers use multiple attention heads instead of one, and how parallel heads capture different relationships and combine into a richer understanding of text.

Feb 20, 2026
Fabric Data Agents and Claude

Data · 4 min

Fabric Data Agents and Claude

How Fabric Data Agents let a model like Claude answer questions over enterprise data in natural language, while the semantic model keeps every answer governed and consistent.

Feb 20, 2026
Microsoft Purview: Classifying and Protecting Data at Scale

Data · 4 min

Microsoft Purview: Classifying and Protecting Data at Scale

How Microsoft Purview classifies and protects sensitive data at scale using sensitive information types, sensitivity labels, and automated policy across your estate.

Feb 20, 2026
Positional Encoding: Teaching Transformers the Concept of Order

AI · 2 min

Positional Encoding: Teaching Transformers the Concept of Order

Transformers read every word at once, so how do they track word order? A clear look at how sine and cosine positional encoding teaches sequence to a Transformer.

Feb 20, 2026
Protecting Sensitive Data in a Digital (and AI-Driven) World

Data · 4 min

Protecting Sensitive Data in a Digital (and AI-Driven) World

Modern data security is shifting from protecting infrastructure to protecting the data itself, wherever it lives and moves. A practical look at why that matters.

Feb 20, 2026
The Foundation Beneath Every Power BI Report

Data · 4 min

The Foundation Beneath Every Power BI Report

How the Power BI semantic model, built on a clean medallion architecture, turns raw data into trusted, consistent metrics, and why it matters even more with AI.

Feb 20, 2026
Understanding Transformers: Encoder, Decoder, and Everything In Between

AI · 4 min

Understanding Transformers: Encoder, Decoder, and Everything In Between

Encoder-only, decoder-only, and encoder-decoder Transformers explained, and how models like BERT, GPT, and T5 map to each, with plain-language intuition.

Feb 20, 2026