Overview

The world of data management is entering a new era-where artificial intelligence, machine learning, and vector indexing redefine what's possible. Modern SQL Server 2025 explores Microsoft's most intelligent and future-ready database platform yet, where traditional T-SQL meets cutting-edge AI and semantic analytics. In today's age of digital transformation, where cloud computing, data science, and automation drive every decision, this book is your essential roadmap to understanding how SQL Server 2025 transforms data into intelligence. From hybrid cloud architectures to vector search and real-time insights, you'll learn how this technology is revolutionizing industries worldwide. Written by seasoned database professionals with deep experience in enterprise data engineering, this book blends practical expertise with forward-thinking strategy. Every topic-from query optimization and indexing strategies to AI-driven analytics-is grounded in real-world implementation. You'll find not just theory but proven methods, best practices, and insights that align with modern data governance and security standards. Modern SQL Server 2025 is a comprehensive guide that bridges the gap between traditional database administration and next-generation AI-driven data systems. You'll start with SQL fundamentals and master advanced T-SQL techniques before diving into hybrid architectures, big data integration, and intelligent query processing. The book then takes you beyond conventional analytics-introducing vector indexing, semantic layers, and AI-enabled features that empower your database to reason, recommend, and predict. Whether you're designing intelligent data warehouses or integrating machine learning directly into SQL Server, you'll gain a complete, end-to-end understanding of how to modernize your data platform for 2025 and beyond. What's Inside Step-by-step coverage of SQL Server 2025's newest capabilities and features. Deep insights into T-SQL performance tuning, query optimization, and indexing strategies. Practical guidance on integrating SQL Server with AI, machine learning, and data science tools. Real-world scenarios showing how to deploy hybrid on-premises and cloud architectures. A hands-on exploration of vector indexing, semantic search, and intelligent recommendations. Best practices for building secure, ethical, and responsible AI-driven databases. Fully guided lab exercises to apply what you learn with real data and real use cases. This book is ideal for database administrators, data engineers, developers, analysts, and students who want to evolve with the future of data. Whether you're an experienced SQL professional upgrading your skills or a data science enthusiast seeking to bridge analytics with relational systems, Modern SQL Server 2025 equips you with the tools to stay competitive. If your goal is to master AI-powered SQL, design smarter architectures, or lead digital transformation projects, this book was written with you in mind. Technology doesn't wait. With the rapid convergence of artificial intelligence, machine learning, and cloud-native databases, the skills of yesterday are no longer enough. SQL Server 2025 marks a turning point in how data is stored, queried, and understood-and professionals who learn it early will lead the transformation. Data is no longer just information-it's intelligence waiting to be activated. Modern SQL Server 2025: From Basics to Advanced T-SQL, Vector Indexing, and AI-Driven Insights gives you the knowledge, structure, and inspiration to turn your database into a true engine of insight. Whether you're building smarter queries, optimizing enterprise systems.

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