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- Adding a named location without breaking Conditional Access
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Power Platform
Power Apps, Power Automate, Power BI, Power Pages, and Dataverse. 27 guides in this topic.
Recently reviewed
- AI Builder document processingHow AI Builder extracts structured data from PDFs and images at scale, and where it fits with newer Copilot patterns.
- Dataverse explainedReviewed 2026-08-25Dataverse is Microsoft's relational database for the Power Platform. Here's what it does and when you actually need it.
- Power Apps — canvas vs model-drivenThe two main Power Apps types — what each is good at, and how to pick.
- Power Apps canvas app performance tuningCommon reasons canvas apps are slow and the patterns that fix them.
- Power Automate cloud flows — a deep diveThe architecture, triggers, actions, and patterns of cloud flows — and the licensing rules that catch many users out.
- Power Automate desktop flows and RPADesktop flows automate UI on Windows machines — Microsoft's robotic process automation capability inside Power Automate.
- Power Automate error handling patternsHow to make flows robust to failure — Run After, Try/Catch, retries, logging, and alerting.
- Power Automate Process MiningProcess Mining analyses event-log data to discover real-world business processes and identify automation opportunities.
- Power BI content certification and endorsementHow endorsement and certification surface trusted content in Power BI and Fabric — and the operational programme behind it.
- Power BI dataflows and Fabric dataflowsHow dataflows centralise data preparation across many Power BI semantic models and reports.
- Power BI deployment pipelinesHow to manage Power BI content lifecycle with deployment pipelines — dev, test, production.
- Power BI paginated reportsPaginated reports cover the print-and-export scenarios that interactive Power BI reports don't — invoices, statements, fixed-layout reporting.
- Power BI Pro vs Premium Per User vs Fabric capacityChoosing between Power BI licensing tiers — Pro, PPU, and Microsoft Fabric capacity for different scenarios.
- Power BI row-level and object-level securityHow RLS and OLS restrict what users see in Power BI semantic models — the patterns and the pitfalls.
- Power BI semantic model designHow to design Power BI / Fabric semantic models for performance, usability, and reuse — star schemas, measures, and best practices.
- Power BI workspace designHow to structure Power BI workspaces for sharing, lifecycle, and governance at scale.
- Power BI, Microsoft Fabric, and semantic modelsHow Power BI fits inside Microsoft Fabric — semantic models, Direct Lake, OneLake, and the unified data platform.
- Power Fx primerA practical introduction to Power Fx, the formula language used across Power Apps and the Power Platform.
- Power Platform Center of Excellence (CoE) ToolkitMicrosoft's free toolkit of apps and flows for governing Power Platform at scale.
- Power Platform custom connectorsHow to build custom connectors for Power Automate and Power Apps — wrapping any REST API as a Power Platform connector.
- Power Platform DLP policiesHow Power Platform DLP policies govern which connectors apps and flows can combine — for data protection at the platform layer.
- Power Platform environments and governanceEnvironments are the unit of isolation in Power Platform. Designing them well prevents most governance problems.
- Power Platform licensing explainedThe Power Platform licensing model — what's free, what's premium, and how to plan for it.
- Power Query primerPower Query is the data import and transformation engine inside Excel and Power BI. Here's the model.
- What is Power Apps?Reviewed 2026-08-30What Power Apps is: each app type and what it's for, where Dataverse fits, what's really included with Microsoft 365, and when not to use it.
- What is Power Automate?Reviewed 2026-08-30What Power Automate is: cloud flows, desktop flows and RPA, what Microsoft 365 includes for free, and the governance that keeps it from becoming shadow IT.
- What is Power BI?Reviewed 2026-08-30What Power BI is: Desktop, the Service, semantic models, licensing from Free to Fabric, how the pieces fit, and starting without a report swamp.
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