SQL Server 2025 Unveiled The AI-Ready Enterprise Database with Microsoft Fabric Integration (Bob Ward)（Z-Library）

【One-Line Pitch】 A guided tour of SQL Server 2025 from one of its principal architects, showing DBAs, architects, and developers how to adopt its AI, developer, and Fabric-facing features without sacrificing enterprise security. Read it if you want a practitioner's orientation to what changed in this release and how to plan an upgrade. 【Book Arc】 - **Opening (~0%–13%)**: Frames the release as an "AI-ready" enterprise data platform and sets expectations for who the book serves—DBAs, architects, and developers working at the intersection of AI and data. - **Early (~17%–33%)**: Positions the release in the lineage of SQL Server versions and the author's long tenure, establishing the "tradition meets innovation" theme before any hands-on material. - **Middle (~38%–58%)**: Moves into orientation and setup—what's new in the platform, the refreshed tooling landscape (new SSMS, VS Code with the mssql extension), platform architecture, and customer stories. - **Late (~63%–83%)**: Installation and upgrade territory: prerequisites, what differs in 2025, alternative deployment methods, side-by-side and multi-instance installs, and the importance of database compatibility level (dbcompat). - **Ending (~88%–100%)**: Introduces AI fundamentals—the path to AI applications, user control over models, RAG and prompting, model types and sizes, where to obtain models, and REST-based AI examples including Ollama and HTTPS. 【Key Takeaways】 - **The release is framed around AI readiness, not just engine upgrades** (Opening): the book's central promise is building AI-powered applications integrated with the SQL engine while keeping data under your control. - **You control the AI layer** (Ending): model choice, how models interact with your data, and where they run are presented as decisions the reader owns—ground, cloud, or Fabric. - **Security is treated as a foundation, not an add-on** (Opening): Row-Level Security, TDE, Dynamic Data Masking, and SQL Server Auditing are positioned as the guardrails for safe AI adoption. - **Developer ergonomics are a headline change** (Middle): JSON, RegEx, REST APIs, and event streaming are called out as making this the most developer-friendly release in a decade. - **Tooling has shifted** (Middle): a new SSMS plus Visual Studio Code with the mssql extension signal where day-to-day work is heading. - **Upgrades hinge on compatibility level** (Late): dbcompat is explicitly flagged as important, alongside side-by-side and multi-instance installation options. - **AI fundamentals are taught from the ground up** (Ending): prompts, RAG, model types and sizes, and model sourcing are covered before hands-on REST examples. - **Fabric integration is a stated pillar** (Opening): analytics powered by Microsoft Fabric is presented as part of the platform story rather than a separate product. 【Reading Tips】 - Skim the opening positioning chapters if you already know the SQL Server release cadence; slow down at the tooling and architecture sections where concrete changes are named. - Treat the installation/upgrade chapter as a checklist: prerequisites, dbcompat, and side-by-side options are the practical decision points. - If you are new to AI, read the AI fundamentals chapter before attempting the REST examples; the model-type and model-size discussion sets up the hands-on work. - Keep the security features in mind as a cross-cutting concern—revisit them when designing any AI integration rather than reading them once. - Use the customer stories and resources sections as pointers for further reading rather than as core technical content. 【Coverage Limits】 The available excerpts are heavily front-matter and table-of-contents oriented; they confirm the book's structure and themes but do not cover the detailed content of performance, high availability, or security chapters, nor the specifics of Fabric integration. Claims about depth in those areas cannot be verified from the excerpts.