SQL Server Foundations | Database Design, T-SQL Development, and Relational Systems

Kamal Omer Alhassan

ISBN 13: 9798997769611

Verlag: Kamal Alhassan, 2026

Beschreibung

SQL Server Foundations | Database Design, T-SQL Development, and Relational Systems | Kamal Omer Alhassan | Taschenbuch | Englisch | 2026 | Kamal Alhassan | EAN 9798997769611 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Bestandsnummer des Verkäufers 136933977

Bibliografische Details

• Titel: SQL Server Foundations | Database Design, T-SQL Development, and Relational Systems
• Verlag: Kamal Alhassan
• Erscheinungsjahr: 2026
• Sprache: Englisch
• ISBN-13: 9798997769611
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 280B x 216 H x 21 T Millimeter Breite: 280 mm, Höhe: 216 mm, Tiefe: 21 mm
• Gewicht: 969 Gramm
• Verkäuferkataloge:
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Inhaltsangabe

SQL Server Foundations: Database Design, T-SQL Development, and Relational Systems provides a practical and academically grounded introduction to relational database design and Microsoft SQL Server development using the UniversitySQLDatabase learning environment. The book guides students from fundamental concepts such as data, relational structures, requirements analysis, data modeling, and normalization into hands-on SQL Server implementation, including tables, data types, keys, constraints, queries, joins, aggregation, subqueries, CTEs, and analytical functions. It then develops essential database programming skills through data modification, transactions, error handling, views, stored procedures, functions, dynamic SQL, triggers, security, and foundational administration. Throughout the book, theoretical explanations are connected to realistic university-based examples, practical laboratories, SQL demonstrations, and review questions, enabling students to understand not only how to write SQL, but also how to design reliable, maintainable, and well-structured relational database systems. A central feature of the book is its progressive use of UniversitySQLDatabase, which gives students a consistent environment in which to apply new concepts as their knowledge develops. Rather than presenting SQL statements as isolated examples, the chapters connect database structures and queries to recognizable academic operations involving departments, courses, students, employees, course sections, prerequisites, instructors, and enrollments. This continuity helps students see how individual database components work together as part of a larger information system while reinforcing important principles such as data integrity, appropriate table grain, meaningful relationships, reusable code, and responsible data management. Designed for use as a college or university course textbook, the book also emphasizes learning through practice and reflection. Each chapter combines conceptual instruction with carefully explained T-SQL examples, a practical laboratory, and review questions that encourage students to explain the reasoning behind their solutions rather than simply memorize syntax. By the end of the book, students are prepared to move from basic database concepts to the design and implementation of a complete SQL Server solution, while also establishing the technical foundation needed for more advanced study in database administration, performance engineering, security, concurrency, recovery, and enterprise SQL Server development. Students learn that effective database development begins long before the first CREATE TABLE statement is written. Requirements must be understood, business rules must be translated into enforceable structures, and relationships must reflect the real meaning of the data being stored. Through normalization, key design, referential integrity, and carefully selected constraints, readers learn how SQL Server can actively protect the quality and consistency of information rather than functioning merely as a passive storage system. As students progress into T-SQL development, the book encourages them to think beyond whether a query simply executes successfully. Attention is given to clarity, correctness, maintainability, and predictable behavior. Students learn to work with explicit schemas and columns, choose appropriate joins and filters, preserve the intended grain of a result set, handle null values carefully, and perform data modifications within clearly defined transaction boundaries. Stored procedures, functions, views, dynamic SQL, and triggers are presented as tools with distinct purposes, helping students develop the judgment needed to select an appropriate database programming technique rather than applying one approach to every problem.