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Practical insights on the Microsoft Data & AI platform, from architecture to implementation.
Data Engineering in the AI Era: Building Trusted Data and Engineering with AI
AI helps engineers build pipelines and creates new requirements for the information those pipelines supply. The challenge is to make implementation faster without weakening accountability.
Migrating Azure Synapse Workloads to Microsoft Fabric: Where to Start
Microsoft's guided migration tools make it easier to assess Azure Synapse workloads and move supported components to Fabric. They do not remove the need to adapt code, configure security or validate business results.
Agentic AI Architecture Patterns
How work moves, who stays in control and when another agent earns its place: eight practical patterns for designing agentic AI solutions, illustrated.
The Evolving Role of the Data Analyst in the AI Era
AI can draft queries, reports and summaries, but it can't establish whether an answer is correct. The analyst's role is combining faster execution with stronger judgement.
Microsoft Fabric Governance, Part 1: Getting Started with OneLake Catalog
Finding Fabric content is only half the challenge; knowing which content to use is harder. Part 1 of a six-part series starts with OneLake catalog and a simple finance scenario.
Microsoft Fabric Governance, Part 2: Building Trust with Item Endorsement
When several items appear to answer the same question, users need to know which ones the organisation recommends. Part 2 explains Fabric's three endorsement badges and how to make certification meaningful.
Microsoft Fabric Governance, Part 3: Making Content Discoverable with Tags
An item name rarely tells the whole story. Part 3 shows how administrator-defined Fabric tags add searchable business context — and why a small, owned vocabulary works best.
Microsoft Fabric Governance, Part 4: Classifying Information with Sensitivity Labels
A report can be accurate, useful and highly sensitive. Part 4 explains how Purview sensitivity labels classify Fabric content, where their protection applies, and what to test before relying on them.
Microsoft Fabric Governance, Part 5: Understanding Data Flows with Workspace Lineage
When a report shows an unexpected result, the problem may sit upstream. Part 5 shows how workspace lineage helps maintainers trace dependencies and check that the implemented flow matches the approved design.
Microsoft Fabric Governance, Part 6: Assessing Impact Before Making Changes
Replacing a measure or retiring a semantic model can affect reports beyond its workspace. The final part shows how impact analysis identifies potentially affected items — and why the change itself still needs validating.
Microsoft Fabric: Key Updates for October 2026
Five recent Microsoft Fabric updates for enterprise data platforms: Fabric Policies, a refreshed Capacity Metrics app, Custom SQL Pools, workspace-level Private Link for SQL database, and Fabric App functions.
Microsoft Foundry vs Microsoft Copilot Studio: Choosing the Right Platform for Your AI Solution
Copilot Studio and Microsoft Foundry both support enterprise AI agents. The right choice depends on the business outcome, the control required and who will maintain the solution — not simply its complexity.
Power BI October 2026: Key Updates for Your Organisation
Selected Power BI October 2026 updates: AI-assisted authoring for custom visuals, a native Gantt visual, dropdown list slicers, hierarchy auto-expansion with field parameters, and more timely capacity consumption reporting.
