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Merge pull request #53669 from MicrosoftDocs/NEW-get-started-with-sql-server-2025
[Release branch to main] get-started-with-sql-server-2025
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### YamlMime:ModuleUnit
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uid: learn.wwl.introduction-to-sql-server.introduction
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title: Introduction
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metadata:
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title: Introduction
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description: "Learn about SQL Server 2022's new features including AI integration, advanced analytics, improved security, and enhanced developer tools."
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ms.date: 10/06/2025
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author: JulianePadrao
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ms.author: jupadrao
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ms.topic: unit
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durationInMinutes: 5
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content: |
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[!include[](includes/1-introduction.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.introduction-to-sql-server.deploy-feature-difference
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title: Deployment options, licensing, and feature differences
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metadata:
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title: Deployment options, licensing, and feature differences
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description: "Explore SQL Server 2025's deployment options, including enhanced containerization, cloud-native features, editions, licensing, and the new preview feature capability"
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ms.date: 10/06/2025
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author: JulianePadrao
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ms.author: jupadrao
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ms.topic: unit
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durationInMinutes: 8
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content: |
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[!include[](includes/2-deploy-feature-difference.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.introduction-to-sql-server.ai-powered
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title: Explore AI-powered capabilities for modern data solutions
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metadata:
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title: Explore AI-powered capabilities for modern data solutions
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description: "Discover SQL Server 2025's native AI capabilities including vector search, model management, and integration with Microsoft Foundry, OpenAI, and other AI services through T-SQL"
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ms.date: 10/06/2025
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author: JulianePadrao
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ms.author: jupadrao
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ms.topic: unit
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durationInMinutes: 12
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content: |
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[!include[](includes/3-ai-powered.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.introduction-to-sql-server.analytics
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title: Unlock advanced analytics capabilities for your organization
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metadata:
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title: Unlock advanced analytics capabilities for your organization
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description: "Explore SQL Server 2025's analytics capabilities including Microsoft Fabric integration, advanced mirroring, Power BI Report Server integration, and improved resource governance for analytics workloads"
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ms.date: 10/06/2025
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author: JulianePadrao
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ms.author: jupadrao
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ms.topic: unit
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durationInMinutes: 15
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content: |
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[!include[](includes/4-analytics.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.introduction-to-sql-server.developers
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title: Elevate developer productivity with tools and integrated services
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metadata:
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title: Elevate developer productivity with tools and integrated services
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description: "Learn about SQL Server 2025's developer enhancements including native JSON support, REST API integration, real-time event streaming, new Python driver, and AI-powered development with GitHub Copilot"
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ms.date: 10/06/2025
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author: JulianePadrao
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ms.author: jupadrao
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ms.topic: unit
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durationInMinutes: 15
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content: |
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[!include[](includes/5-developers.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.introduction-to-sql-server.performance
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title: Maximize performance to drive speed and efficiency
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metadata:
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title: Maximize performance to drive speed and efficiency
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description: "Discover SQL Server 2025's intelligent query processing features, including AI-driven query optimization, Parameter Sensitive Plan improvements, enhanced Query Store capabilities, and advanced resource governance"
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ms.date: 10/06/2025
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author: JulianePadrao
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ms.author: jupadrao
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ms.topic: unit
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durationInMinutes: 12
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content: |
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[!include[](includes/6-performance.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.introduction-to-sql-server.security-scalability
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title: Secure and scale modern applications
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metadata:
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title: Secure and scale modern applications
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description: "Explore SQL Server 2025's enhanced security features including optimized security cache, OAEP encryption support, managed identity integration, modern protocol support, and advanced authentication options"
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ms.date: 10/06/2025
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author: JulianePadrao
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ms.author: jupadrao
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ms.topic: unit
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durationInMinutes: 10
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content: |
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[!include[](includes/7-security-scalability.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.introduction-to-sql-server.knowledge-check
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title: Knowledge check
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metadata:
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title: Knowledge check
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description: Knowledge check
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ms.date: 10/06/2025
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author: JulianePadrao
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ms.author: jupadrao
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ms.topic: unit
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durationInMinutes: 3
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content: |
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Answer the following questions to test your knowledge of SQL Server 2025 features.
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quiz:
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questions:
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- content: "Which feature in SQL Server 2025 enables semantic search and similarity matching using vector embeddings?"
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choices:
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- content: "Full-text search"
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isCorrect: false
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explanation: "Incorrect. Full-text search is a traditional text search feature. Vector search is the new feature that enables semantic search and similarity matching."
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- content: "Vector search"
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isCorrect: true
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explanation: "Correct. Vector search is a new feature in SQL Server 2025 that enables semantic search and similarity matching using vector embeddings."
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- content: "Regular expressions"
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isCorrect: false
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explanation: "Incorrect. Regular expressions are used for pattern matching in text. Vector search is used for semantic search and similarity matching."
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- content: "Text chunking"
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isCorrect: false
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explanation: "Incorrect. Text chunking is a preprocessing step. Vector search is the feature that enables semantic search functionality."
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- content: "What is the key improvement in Microsoft Fabric mirroring compared to traditional Change Data Capture (CDC)?"
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choices:
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- content: "Uses SQL Server Agent for key functions"
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isCorrect: false
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explanation: "Incorrect. SQL Server 2025's Change Feed method eliminates the need for SQL Server Agent, unlike CDC."
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- content: "Requires On-premises Data Gateway"
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isCorrect: false
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explanation: "Incorrect. The new Change Feed method uses direct writes to OneLake, with OPDG only for control and command."
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- content: "Uses Change Feed method for direct streaming"
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isCorrect: true
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explanation: "Correct. SQL Server 2025 replaces CDC with the Change Feed method, enabling direct streaming to OneLake with reduced overhead."
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- content: "Requires Arc Agent for authentication"
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isCorrect: false
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explanation: "Incorrect. Arc Agent provides system managed identity but isn't the key improvement over CDC."
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- content: "Which new capability in SQL Server 2025 allows developers to validate and transform text using pattern matching directly in T-SQL?"
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choices:
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- content: "JSON functions"
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isCorrect: false
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explanation: "Incorrect. JSON functions handle JSON data structure but don't provide pattern matching capabilities."
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- content: "Regular expressions (RegEx)"
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isCorrect: true
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explanation: "Correct. Regular expressions in SQL Server 2025 enable pattern matching and text transformation directly in T-SQL."
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- content: "REST APIs"
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isCorrect: false
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explanation: "Incorrect. REST APIs are for external service integration, not text pattern matching."
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- content: "Vector embeddings"
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isCorrect: false
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explanation: "Incorrect. Vector embeddings are used for semantic search, not text pattern matching."
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- content: "What improvement in Query Store helps monitor performance in high-availability environments?"
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choices:
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- content: "Automatic index recommendations"
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isCorrect: false
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explanation: "Incorrect. While this is a feature, the key improvement for HA environments is performance monitoring on readable secondaries."
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- content: "Plan improvement suggestions"
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isCorrect: false
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explanation: "Incorrect. Plan improvements are a general feature, not specific to high-availability monitoring."
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- content: "Performance monitoring on readable secondaries"
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isCorrect: true
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explanation: "Correct. Query Store now supports capturing performance data on readable secondary replicas, which is valuable in high-availability environments."
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- content: "Cross-database query monitoring"
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isCorrect: false
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explanation: "Incorrect. While this is a feature, the specific improvement for HA environments is monitoring on readable secondaries."
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### YamlMime:ModuleUnit
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uid: learn.wwl.introduction-to-sql-server.summary
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title: Summary
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metadata:
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unitType: summary
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title: Summary
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description: "Review the key features and capabilities of SQL Server 2025, including AI integration, analytics improvements, advanced security, and enhanced developer tools"
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ms.date: 10/06/2025
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author: JulianePadrao
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ms.author: jupadrao
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ms.topic: unit
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durationInMinutes: 8
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content: |
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[!include[](includes/9-summary.md)]
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[SQL Server 2025](/sql/sql-server/what-s-new-in-sql-server-2025) introduces core improvements in AI integration, security, performance, availability, and data virtualization.
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SQL Server 2025 helps organizations integrate AI capabilities, connect with cloud services, and improve analytics and development workflows. This release adds features for Azure integration, analytics, and developer productivity.
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:::image type="content" source="../media/sql-2005-ai-2.png" alt-text="Illustration of AI-powered search and integration in SQL Server 2025.":::
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Organizations can accelerate application performance with intelligent query processing, protect data with advanced security and compliance features, and achieve greater scalability and availability with AI for mission-critical workloads.
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SQL Server 2025 also empowers developers to build modern applications by connecting relational data with data lakes, leveraging built-in AI models, and utilizing enhanced T-SQL capabilities. New support for [Simple Storage Service (S3) compatible storage providers](/sql/relational-databases/backup-restore/sql-server-backup-and-restore-with-s3-compatible-object-storage) and expanded cloud-native features enable flexible data management and analytics.
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> [!NOTE]
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> This module covers features available in the SQL Server 2025 preview release. Some features might change before the final release.
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Here are some of the capabilities you learn about in this module:
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- **Deployment options and differences in SQL Server 2025**: Explore new deployment methods, including enhanced containerization and cloud-native options, and understand the differences from previous releases.
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- **AI-powered and cloud-connected scenarios**: Learn about new AI integration, hybrid capabilities, and how to connect to Azure for managed disaster recovery, real-time analytics, and advanced security.
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- **Intelligent query processing and analytics**: Discover new engine capabilities for intelligent query performance, built-in AI analytics, and deep insights with minimal code changes.
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- **Advanced security, scalability, and availability**: Understand the latest security enhancements, compliance features, and improvements in scalability and high availability.
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- **Data virtualization and object storage**: Access and analyze data across on-premises, cloud, and S3-compatible object storage providers with new connectors and virtualization features.
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- **Developer productivity and T-SQL enhancements**: Utilize new T-SQL language features, AI functions, and developer tools to build modern data-driven applications.

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