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Practical entity framework = databas...
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Gorman, Brian L.
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Practical entity framework = database access for enterprise applications /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Practical entity framework/ by Brian L. Gorman.
其他題名:
database access for enterprise applications /
作者:
Gorman, Brian L.
出版者:
Berkeley, CA :Apress : : 2020.,
面頁冊數:
xxviii, 649 p. :ill., digital ;24 cm.
內容註:
Introduction -- Part I. Getting Started -- 1. Introduction to Entity Framework -- 2. Working with an Existing Database -- 3. Entity Framework: Code First -- Part II. Building the Data Solution -- 4. Models and the Data Context -- 5. Constraints, Keys, and Relationships -- 6. Data Access (Create, Read, Update, Delete) -- 7. Stored Procedures, Views, and Functions -- 8. Sorting, Filtering, and Paging -- Part III. Enhancing the Data Solution -- 9. LINQ for Queries and Projections -- 10. Encryption of Data -- 11. Repository and Unit of Work Patterns -- 12. Unit Testing, Integration Testing, and Mocking -- 13. Alternatives to Entity Framework: Dapper -- 14. Asynchronous Data Operations and Multiple Database Contexts -- Part IV. Recipes for Success -- 15. .NET 5 and Entity Framework -- 16. Appendix A: Troubleshooting.
Contained By:
Springer Nature eBook
標題:
Enterprise application integration (Computer systems) -
電子資源:
https://doi.org/10.1007/978-1-4842-6044-9
ISBN:
9781484260449
Practical entity framework = database access for enterprise applications /
Gorman, Brian L.
Practical entity framework
database access for enterprise applications /[electronic resource] :by Brian L. Gorman. - Berkeley, CA :Apress :2020. - xxviii, 649 p. :ill., digital ;24 cm.
Introduction -- Part I. Getting Started -- 1. Introduction to Entity Framework -- 2. Working with an Existing Database -- 3. Entity Framework: Code First -- Part II. Building the Data Solution -- 4. Models and the Data Context -- 5. Constraints, Keys, and Relationships -- 6. Data Access (Create, Read, Update, Delete) -- 7. Stored Procedures, Views, and Functions -- 8. Sorting, Filtering, and Paging -- Part III. Enhancing the Data Solution -- 9. LINQ for Queries and Projections -- 10. Encryption of Data -- 11. Repository and Unit of Work Patterns -- 12. Unit Testing, Integration Testing, and Mocking -- 13. Alternatives to Entity Framework: Dapper -- 14. Asynchronous Data Operations and Multiple Database Contexts -- Part IV. Recipes for Success -- 15. .NET 5 and Entity Framework -- 16. Appendix A: Troubleshooting.
Determine your object relational mapper (ORM) of choice for enterprise applications using .NET Framework, and especially .NET Framework Core 3.1 and higher. Real-world examples and considerations are presented in this book to help you create robust and efficient database solutions. Throughout the text, actual problems, questions, and common pitfalls are provided to help you recognize optimal solutions for maximum success in the different application scenarios you might encounter. Practical Entity Framework begins with a simple overview of the two most common approaches to working with databases-database first and code first-and then focuses on working in a code first manner. Taking the code first approach allows the entire database to be built and maintained in code so there is never a situation in which you cannot restore the database schema. Additionally, the code first approach creates an entirely transparent record of changes to the database that is easily tracked in source control. Emphasis throughout the book is on leaving you well positioned to architect and lead data development efforts for your organization. You will: Build robust and maintainable databases using a code first approach Create and execute stored procedures, triggers, and functions Analyze and optimize performance of database queries Ensure data integrity through keys, constraints, and relationships.
ISBN: 9781484260449
Standard No.: 10.1007/978-1-4842-6044-9doiSubjects--Topical Terms:
595688
Enterprise application integration (Computer systems)
LC Class. No.: T58.6 / .G67 2020
Dewey Class. No.: 658.4038011
Practical entity framework = database access for enterprise applications /
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Introduction -- Part I. Getting Started -- 1. Introduction to Entity Framework -- 2. Working with an Existing Database -- 3. Entity Framework: Code First -- Part II. Building the Data Solution -- 4. Models and the Data Context -- 5. Constraints, Keys, and Relationships -- 6. Data Access (Create, Read, Update, Delete) -- 7. Stored Procedures, Views, and Functions -- 8. Sorting, Filtering, and Paging -- Part III. Enhancing the Data Solution -- 9. LINQ for Queries and Projections -- 10. Encryption of Data -- 11. Repository and Unit of Work Patterns -- 12. Unit Testing, Integration Testing, and Mocking -- 13. Alternatives to Entity Framework: Dapper -- 14. Asynchronous Data Operations and Multiple Database Contexts -- Part IV. Recipes for Success -- 15. .NET 5 and Entity Framework -- 16. Appendix A: Troubleshooting.
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Determine your object relational mapper (ORM) of choice for enterprise applications using .NET Framework, and especially .NET Framework Core 3.1 and higher. Real-world examples and considerations are presented in this book to help you create robust and efficient database solutions. Throughout the text, actual problems, questions, and common pitfalls are provided to help you recognize optimal solutions for maximum success in the different application scenarios you might encounter. Practical Entity Framework begins with a simple overview of the two most common approaches to working with databases-database first and code first-and then focuses on working in a code first manner. Taking the code first approach allows the entire database to be built and maintained in code so there is never a situation in which you cannot restore the database schema. Additionally, the code first approach creates an entirely transparent record of changes to the database that is easily tracked in source control. Emphasis throughout the book is on leaving you well positioned to architect and lead data development efforts for your organization. You will: Build robust and maintainable databases using a code first approach Create and execute stored procedures, triggers, and functions Analyze and optimize performance of database queries Ensure data integrity through keys, constraints, and relationships.
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