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MS SQL Server

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May 1, 2024 Updated June 25, 2025 19 minute read

Diving Deep into MS SQL Server: A Comprehensive Guide

Microsoft SQL Server, commonly known as MS SQL Server, is a cornerstone technology in the world of data management. It is a relational database management system (RDBMS) developed by Microsoft, designed to efficiently store, retrieve, and manage vast amounts of data for a wide array of applications. From small businesses to large multinational corporations, MS SQL Server provides the backbone for critical operations, data analysis, and decision-making processes.

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Reading list

We've selected 15 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in MS SQL Server.
Foundational text for anyone starting with MS SQL Server, focusing on the Transact-SQL language. It is essential for building a strong understanding of querying and data manipulation, serving as a crucial prerequisite for more advanced topics. While not the newest edition, the core T-SQL concepts remain highly relevant.
Focused on optimizing query performance in SQL Server, this book is invaluable for developers and DBAs dealing with slow queries. It covers identifying and resolving performance bottlenecks and highly practical guide for improving application performance.
A comprehensive reference for database administrators, covering installation, configuration, management, and security of SQL Server 2019. is highly relevant for professionals and provides in-depth knowledge of the platform's administrative aspects, including hybrid and cloud environments.
Is dedicated to understanding and interpreting SQL Server execution plans, a critical skill for performance tuning. It's a specialized but essential resource for anyone serious about optimizing query performance.
While not exclusively focused on MS SQL Server, this book provides highly relevant techniques for data analysis using SQL, applicable to the platform. It's particularly useful for those interested in the data analysis and business intelligence aspects highlighted in the course descriptions.
Provides a developer-centric view of SQL Server 2019, covering essential SQL skills, database design, and programming topics like stored procedures and triggers. It's a practical guide for developers working with SQL Server.
Addresses the challenges of achieving and maintaining high performance in critical SQL Server environments. It covers various aspects of performance tuning and architecture for demanding workloads.
Focuses on common mistakes and suboptimal solutions in SQL programming and database design. Understanding these antipatterns is crucial for writing efficient and maintainable SQL code, making it valuable for developers and database professionals.
Is specifically aimed at beginners and provides a clear introduction to SQL Server 2019, covering fundamental concepts, querying, and basic administration. It's a good starting point for those new to the platform.
A practical and approachable guide to SQL Server administration, broken down into short, easy-to-digest lessons. is ideal for beginners or those needing a quick ramp-up on essential administrative tasks.
Focuses specifically on building tabular models in SSAS, a key technology for modern business intelligence solutions with SQL Server. It's a detailed guide for BI professionals.
An older but still relevant book by leading experts, focusing on advanced T-SQL querying techniques. While the version is dated, the in-depth coverage of query processing and optimization remains valuable for those seeking a deeper understanding.
While centered on DAX, the data analysis expression language, this book is crucial for those using SQL Server Analysis Services (SSAS) for business intelligence. It's essential for understanding how to create effective data models for reporting and analysis.
Explores the use of graph database features within SQL Server and Azure SQL. delves into a more contemporary topic within the SQL Server ecosystem, relevant for those working with connected data.
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