Overview

At FabCon 2026, Microsoft took another important step toward reshaping how organizations manage databases by announcing the Database Hub in Microsoft Fabric. While the Database Hub is still in early access and not yet generally available, it represents a meaningful shift in how Microsoft is thinking about database management at scale.

For years, database teams have operated across fragmented tools, portals, and management experiences depending on whether the database lived on‑premises, in Azure PaaS, or in a SaaS environment. As data estates grow and AI workloads place greater pressure on operational data, that fragmentation becomes a real problem. The Database Hub is Microsoft’s answer to this challenge, providing a unified control plane for managing databases across the enterprise from within Fabric.

Anyone running SQL Server today, whether on‑premises or in Azure, should be paying close attention. This is not just another management experience. It is a signal of where Microsoft is taking databases as part of a single, converged data platform.

What the Database Hub Is

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Defense contractors have spent the last two years watching commercial organizations transform their workflows with AI while wondering when Microsoft 365 Copilot for defense environments would actually become available. That wait ended in December 2025, and the implications for how DIB organizations work with sensitive data are significant.

Key Insights: What You Need to Know About Microsoft 365 Copilot for Defense

• Copilot for defense contractors became a reality in December 2025 when Microsoft announced general availability of Microsoft 365 Copilot in GCC High, the sovereign cloud environment required for handling Controlled Unclassified Information (CUI) under DoD contracts.
• Copilot in GCC High operates within a physically separated infrastructure where all data stays in U.S.-based data centers managed exclusively by screened U.S. personnel, meeting DFARS 252.204-7012, ITAR, and CMMC requirements.
• Secure AI for DoD use depends on architecture, not promises. Web grounding is turned off by default in GCC High to prevent data leakage outside the compliance boundary, and Microsoft Entra ID for Government enforces role-based access controls.

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If your organization handles Controlled Unclassified Information (CUI) under a Department of Defense contract, you already know that Microsoft 365 GCC High is the cloud environment built for your situation. What most defense contractors underestimate is the true GCC High cost once you move past the per-user license fee and into the full picture of migration, operations, and long-term compliance.

This guide breaks down what GCC High actually costs for defense contractors, which Microsoft licensing options apply, and where the budget surprises tend to hide.

Key Insights: What You Need to Know About GCC High Cost and Licensing

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Overview

Microsoft Fabric security is built on two distinct layers that are often confused but serve very different purposes:

• Control plane access determines what you can do in Fabric, such as creating items, managing workspaces, and sharing content.
• Data plane access determines what data you can actually see or interact with inside OneLake.

For much of Fabric’s early life, workspace roles were used as the primary security boundary. That works for collaboration, but it becomes problematic as platforms scale and data products need stronger governance.

This is where OneLake security comes in. It introduces native, fine-grained security directly at the storage layer, allowing organizations to separate operational permissions from data access. At FabCon, Microsoft announced that OneLake security is going GA in April 2026, signaling that this model is ready to become the standard for enterprise Fabric deployments.

Control Plane Access: Workspace Roles

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Daymark Solutions is at FabCon for a second year in a row!

There’s something energizing about being back at the Microsoft Fabric Community Conference. After attending last year, it’s great to once again be surrounded by people who are genuinely excited about Fabric, from data engineers and analysts to architects and partners building real world solutions every day.

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Defense contractors handling sensitive government data face a critical infrastructure decision that directly affects their eligibility for DoD contracts. Microsoft GCC High has emerged as the de facto standard cloud environment for organizations in the Defense Industrial Base working with Controlled Unclassified Information (CUI) and export-controlled data. If you're evaluating cloud platforms for CMMC compliance or wondering whether your current Microsoft 365 setup meets DoD requirements, understanding the distinction between GCC High and other Microsoft cloud offerings isn't optional-it's essential to your contract eligibility.

Key Insights for Defense Industrial Base (DIB) Compliance

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Native Integration Brings Seamless Governance and Security to AI Applications

For years, the story of enterprise AI has followed a predictable storyline: a promising use case receives approval, a development team builds something impressive, and then the project stalls. The reason is not that the technology failed, but rather that compliance could not keep up. Security reviews, data classification requirements, audit trails, retention policies, and governance work consistently take longer to complete than the actual development.

Microsoft recently announced native integration between Foundry and Purview, and for IT and security leaders who have been watching AI adoption intersect with compliance requirements, this is a development worth paying attention to.

What's Actually Changed

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Overview

Microsoft Fabric provides multiple ways to implement transformation logic and operationalize it within Fabric Data Factory pipelines. Two of the most common approaches are Fabric notebooks and SQL stored procedures.

Both are first class tools in Fabric and both can be orchestrated through Data Factory pipelines. The difference is not about which one is better. It is about how the processing is executed, where the logic lives, and what development style best fits the workload.

Notebooks are built on Apache Spark and are designed for distributed, code driven data engineering and analytics workflows. Stored procedures run directly in the SQL engine and are optimized for relational, database centric operations. In real world Fabric architectures, it is common and often recommended to use both together.

Understanding the strengths of each helps teams design pipelines that are scalable, maintainable, and aligned with how their data is structured and governed.

Fabric Notebooks

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Overview

A data gateway in Microsoft Fabric and Power BI is the secure connectivity layer that allows cloud services to access data sources that aren’t publicly reachable. This includes on-premises systems, Azure resources locked behind private endpoints, and streaming platforms running inside private networks.

Gateways are critical because most real-world architectures are hybrid. Even as organizations adopt Fabric, they often need to integrate with legacy systems, tightly secured Azure services, or real-time platforms that cannot be exposed to the public internet. Gateways make this possible without compromising security or network boundaries.

Microsoft Fabric currently supports three gateway types, each optimized for a different scenario:

• On-premises data gateway
• Virtual network data gateway
• Streaming virtual network data gateway

Understanding when to use each one helps avoid unnecessary complexity and ensures the right balance of security, performance, and manageability.

What a Data Gateway Does in Fabric and Power BI

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