Modern Database Foundations – From Relational Design to NoSQL, Cloud, and AI Systems introduces the principles, practices, and technologies that underpin today’s database systems. The book begins with the foundations of database management, including data modeling, Entity-Relationship design, relational schemas, keys, constraints, and normalization. It then moves into practical SQL skills, MySQL programmability, Python database connectivity, application development, and core database administration.
The later chapters broaden the reader’s perspective beyond traditional relational systems, covering security, concurrency, recovery, NoSQL databases, cloud-native database services, and the growing role of databases in AI-powered applications. Topics such as vector databases, Retrieval-Augmented Generation, and AI-assisted database work are introduced as part of the modern data landscape.
Written for students, instructors, and technology professionals, this book emphasizes both conceptual understanding and practical skills. Its goal is to help readers design reliable databases, write effective queries, build database-backed applications, and understand how database systems continue to evolve in the era of cloud computing and artificial intelligence.
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Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Paperback. Etat : new. Paperback. Modern Database Foundations - From Relational Design to NoSQL, Cloud, and AI Systems introduces the principles, practices, and technologies that underpin today's database systems. The book begins with the foundations of database management, including data modeling, Entity-Relationship design, relational schemas, keys, constraints, and normalization. It then moves into practical SQL skills, MySQL programmability, Python database connectivity, application development, and core database administration. The later chapters broaden the reader's perspective beyond traditional relational systems, covering security, concurrency, recovery, NoSQL databases, cloud-native database services, and the growing role of databases in AI-powered applications. Topics such as vector databases, Retrieval-Augmented Generation, and AI-assisted database work are introduced as part of the modern data landscape. Written for students, instructors, and technology professionals, this book emphasizes both conceptual understanding and practical skills. Its goal is to help readers design reliable databases, write effective queries, build database-backed applications, and understand how database systems continue to evolve in the era of cloud computing and artificial intelligence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798195899899
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Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. Print on Demand. N° de réf. du vendeur I-9798195899899
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Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798195899899
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798195899899
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Vendeur : CitiRetail, Stevenage, Royaume-Uni
Paperback. Etat : new. Paperback. Modern Database Foundations - From Relational Design to NoSQL, Cloud, and AI Systems introduces the principles, practices, and technologies that underpin today's database systems. The book begins with the foundations of database management, including data modeling, Entity-Relationship design, relational schemas, keys, constraints, and normalization. It then moves into practical SQL skills, MySQL programmability, Python database connectivity, application development, and core database administration. The later chapters broaden the reader's perspective beyond traditional relational systems, covering security, concurrency, recovery, NoSQL databases, cloud-native database services, and the growing role of databases in AI-powered applications. Topics such as vector databases, Retrieval-Augmented Generation, and AI-assisted database work are introduced as part of the modern data landscape. Written for students, instructors, and technology professionals, this book emphasizes both conceptual understanding and practical skills. Its goal is to help readers design reliable databases, write effective queries, build database-backed applications, and understand how database systems continue to evolve in the era of cloud computing and artificial intelligence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798195899899
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. Neuware - Modern Database Foundations - From Relational Design to NoSQL, Cloud, and AI Systems introduces the principles, practices, and technologies that underpin today's database systems. The book begins with the foundations of database management, including data modeling, Entity-Relationship design, relational schemas, keys, constraints, and normalization. It then moves into practical SQL skills, MySQL programmability, Python database connectivity, application development, and core database administration. The later chapters broaden the reader's perspective beyond traditional relational systems, covering security, concurrency, recovery, NoSQL databases, cloud-native database services, and the growing role of databases in AI-powered applications. Topics such as vector databases, Retrieval-Augmented Generation, and AI-assisted database work are introduced as part of the modern data landscape. Written for students, instructors, and technology professionals, this book emphasizes both conceptual understanding and practical skills. Its goal is to help readers design reliable databases, write effective queries, build database-backed applications, and understand how database systems continue to evolve in the era of cloud computing and artificial intelligence. N° de réf. du vendeur 9798195899899
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