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Pro SQL Server relational database design and implementation /

Learn effective and scalable database design techniques in a SQL Server 2016 and higher environment. This book is revised to cover in-memory online transaction processing, temporal data storage, row-level security, durability enhancements, and other design-related features that are new or changed in...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Davidson, Louis (Autor), Moss, Jessica M. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [United States] : Apress, [2016]
Edición:Fifth edition.
Colección:Expert's voice in SQL.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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245 1 0 |a Pro SQL Server relational database design and implementation /  |c Louis Davidson with Jessica Moss ; foreword by Kalen Delaney. 
250 |a Fifth edition. 
264 1 |a [United States] :  |b Apress,  |c [2016] 
264 2 |a New York, NY :  |b Distributed to the Book trade worldwide by Springer 
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490 1 |a The expert's voice in SQL 
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505 0 |a At a Glance; Contents; Foreword; About the Authors; About the Technical Reviewers; Acknowledgments; Introduction; Chapter 1: The Fundamentals; Taking a Brief Jaunt Through History; Introducing Codd's Rules for an RDBMS; Rule 1: The Information Principle; Rule 2: Guaranteed Access; Rule 3: Systematic Treatment of NULL Values; Rule 4: Dynamic Online Catalog Based on the Relational Model; Rule 5: Comprehensive Data Sublanguage Rule; Rule 6: View Updating Rule; Rule 7: High-Level Insert, Update, and Delete; Rule 8: Physical Data Independence; Rule 9: Logical Data Independence. 
505 8 |a Rule 10: Integrity IndependenceRule 11: Distribution Independence; Rule 12: Nonsubversion Rule; Nodding at SQL Standards; Recognizing Relational Data Structures; Introducing Databases and Schemas; Understanding Tables, Rows, and Columns; Working with Missing Values (NULLs); Defining Domains; Storing Metadata; Defining Uniqueness Constraints (Keys); Types of Keys; Choosing Keys; Natural Keys; Smart Keys; Surrogate Keys; Understanding Relationships; Working with Binary Relationships; One-to-Many Relationships; One-to-Many (The General Case); One-to-N Relationship; Many-to-Many Relationships. 
505 8 |a Working with Nonbinary RelationshipsUnderstanding Functional Dependencies; Understanding Functional Dependencies; Finding Determinants; Relational Programming; Outlining the Database-Specific Project Phases; Conceptual Phase; Logical Phase; Physical; Engine Adjustment Phase; Summary; Chapter 2: Introduction to Requirements; Documenting Requirements; Gathering Requirements; Interviewing Clients; Asking the Right Questions; What Data Is Needed?; How Will the Data Be Used?; What Rules Govern the Use of the Data?; What Data Is Reported On?; Where Is the Data Now? 
505 8 |a Will the Data Need to Be Integrated with Other Systems?How Much Is This Data Worth?; Who Will Use the Data?; Are Existing Systems Being Replaced?; Utilizing Other Types of Documentation; Early Project Documentation; Contracts or Client Work Orders; Level of Service Agreement; Audit Plans; Prototypes; Following Best Practices; Summary; Chapter 3: The Language of Data Modeling; Introducing Data Modeling; Entities; Attributes; Primary Keys; Alternate Keys; Foreign Keys; Domains; Relationships; Identifying Relationships; Nonidentifying Relationships; Role Names; Relationship Cardinality. 
505 8 |a Recursive RelationshipsSubtypes; Many-to-Many Relationships; Verb Phrases (Relationship Names); Descriptive Information; Alternative Modeling Methodologies; Information Engineering; Chen ERD; Best Practices; Summary; Chapter 4: Conceptual and Logical Data Model Production; Example Scenario; Building the Conceptual Model; Identifying Entities; Persons; Places; Objects; Ideas; Documents; Groups; Other Entities; Audit Trails; Events; Records and Journals; Entity Recap; Identifying Relationships Between Entities; One-to-N Relationships; Simple Relationships; Connection; Transactions. 
520 |a Learn effective and scalable database design techniques in a SQL Server 2016 and higher environment. This book is revised to cover in-memory online transaction processing, temporal data storage, row-level security, durability enhancements, and other design-related features that are new or changed in SQL Server 2016. Designing an effective and scalable database using SQL Server is a task requiring skills that have been around for forty years coupled with technology that is constantly changing. Pro SQL Server Relational Database Design and Implementation covers everything from design logic that business users will understand, all the way to the physical implementation of design in a SQL Server database. Grounded in best practices and a solid understanding of the underlying theory, Louis Davidson shows how to "get it right" in SQL Server database design and lay a solid groundwork for the future use of valuable business data. The pace of change in relational database management systems has been tremendous these past few years. Whereas in the past it was enough to think about optimizing data residing on spinning hard drives, today one also must consider solid-state storage as well as data that are constantly held in memory and never written to disk at all except as a backup. Furthermore, there is a trend toward hybrid cloud and on-premise database configurations as well a move toward preconfigured appliances. Pro SQL Server Relational Database Design and Implementation guides in the understanding of these massive changes and in their application toward sound database design. Gives a solid foundation in best practices and relational theory Covers the latest implementation features in SQL Server 2016 Helps you master in-memory OLTP and use it effectively Takes you from conceptual design to an effective, physical implementation 
504 |a Includes bibliographical references and index. 
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