Microsoft Fabric
Microsoft's Osmos Acquisition and Fabric Data Engineering
What Microsoft's Osmos acquisition could change for Fabric data engineering, OneLake workflows, governance, and platform planning.
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Microsoft Fabric
Microsoft Fabric CI/CD: What Official Support Changes
Understand where fabric-cicd fits beside Git integration and deployment pipelines, and what platform teams should verify before adoption.
AI
Data Modernization for AI Readiness
Assess data quality, ownership, access, and platform constraints before moving an enterprise AI use case into production.
Microsoft Fabric
Microsoft Fabric in 2026: An Enterprise Planning Guide
Review Fabric's current workloads, governance boundaries, and rollout questions before you commit to an enterprise platform plan.
Business
Modernize Apps with AI and Microsoft Power Platform
Use this guide to assess Power Platform for legacy app modernization, Copilot-assisted delivery, governance, and rollout planning.
Azure
Low-Code Developer Productivity with Power Platform
See where low-code can reduce repetitive work, speed delivery, and support governance, plus the evidence to check before using benchmark figures.
Microsoft Fabric
Microsoft Fabric: Platform Overview for Data Teams
A sourced guide to OneLake, engineering, warehousing, real-time analytics, Power BI, governance, and Copilot in Microsoft Fabric.
Other
Data-Driven Analytics Foundation Platform
See the platform's intended scope, Azure architecture, governance controls, customer example, and historical Microsoft accreditation.
Azure
Azure Migration: Four Decisions Before You Move
Assess workload fit, dependencies, costs, security, and operating ownership before moving an application or data platform to Azure.
Company
Data-Driven's Microsoft Gold Competency Milestone
A historical announcement covering Data-Driven's Cloud Platform competency, team certifications, customer references, and Azure services.
Azure
Modernize Microsoft Workloads for Analytics on Azure
See how an Azure data platform can connect legacy workloads to analytics, then map the migration steps, dependencies, and controls.
Data Engineering
No-Code Business Apps: Power Apps and Honeycode
A historical look at when no-code tools fit internal business apps, how platform pricing changes the decision, and where custom code remains useful.
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