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Beginning Spring Data = data access ...

Sacco, Andres.

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Beginning Spring Data = data access and persistence for Spring Framework 6 and Boot 3 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Beginning Spring Data/ by Andres Sacco.
其他題名:	data access and persistence for Spring Framework 6 and Boot 3 /
作者:	Sacco, Andres.
出版者:	Berkeley, CA :Apress : : 2023.,
面頁冊數:	xxii, 417 p. :ill., digital ;24 cm.
內容註:	Part I - Introduction -- 1. Architecture of the Applications -- 2. Spring Basics and Beyond -- 3. Spring Data and Persistence Types -- Part II - SQL Persistence -- 4. Persistence and Domain Model -- 5. Transaction Management -- 6. Versioning or Migrate the Changes of the Database -- Part III - NO-SQL Persistence -- 7. Redis key/value Database -- 8. MongoDB Document Database -- 9. Neo4j Graph Database -- 10. Cassandra wide-column Database -- 11. Reactive access w/R2DBC and MongoDB -- 12. Unit/Integration Testing -- 13. Performance Testing -- 14. Best Practices -- Appendix A -- Appendix B -- Appendix C -- Appendix D -- Appendix E -- Appendix F.
Contained By:	Springer Nature eBook
標題:	Application software - Development. -
電子資源:	https://doi.org/10.1007/978-1-4842-8764-4
ISBN:	9781484287644

Beginning Spring Data = data access and persistence for Spring Framework 6 and Boot 3 /
Sacco, Andres.

Beginning Spring Datadata access and persistence for Spring Framework 6 and Boot 3 /[electronic resource] :by Andres Sacco. - Berkeley, CA :Apress :2023. - xxii, 417 p. :ill., digital ;24 cm.

Part I - Introduction -- 1. Architecture of the Applications -- 2. Spring Basics and Beyond -- 3. Spring Data and Persistence Types -- Part II - SQL Persistence -- 4. Persistence and Domain Model -- 5. Transaction Management -- 6. Versioning or Migrate the Changes of the Database -- Part III - NO-SQL Persistence -- 7. Redis key/value Database -- 8. MongoDB Document Database -- 9. Neo4j Graph Database -- 10. Cassandra wide-column Database -- 11. Reactive access w/R2DBC and MongoDB -- 12. Unit/Integration Testing -- 13. Performance Testing -- 14. Best Practices -- Appendix A -- Appendix B -- Appendix C -- Appendix D -- Appendix E -- Appendix F.

Use the popular Spring Data project for data access and persistence using various Java-based APIs such as JDBC, JPA, MongoDB, and more. This book shows how to easily incorporate data persistence and accessibility into your microservices, cloud-native applications, and monolithic enterprise applications. It also teaches you how to perform unit and performance testing of a component that accesses a database. And it walks you through an example of each type of SQL and NoSQL database covered. After reading this book, you'll be able to create an application that interacts with one or multiple types of databases, and conduct unit and performance testing to analyze possible problems. Source code is available on GitHub. You will: Become familiar with the Spring Data project and its modules for data access and persistence Explore various SQL and NoSQL persistence types Uncover the persistence and domain models, and handle transaction management for SQL Migrate database changes and versioning for SQL Dive into NoSQL persistence with Redis, MongoDB, Neo4j, and Cassandra Handle reactive database programming and access with R2DBC and MongoDB Conduct unit, integration, and performance testing, and more.

ISBN: 9781484287644

Standard No.: 10.1007/978-1-4842-8764-4doiSubjects--Topical Terms:

539563
Application software
--Development.

LC Class. No.: QA76.73.J38 / S23 2023

Dewey Class. No.: 005.1

Beginning Spring Data = data access and persistence for Spring Framework 6 and Boot 3 /
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520 $a Use the popular Spring Data project for data access and persistence using various Java-based APIs such as JDBC, JPA, MongoDB, and more. This book shows how to easily incorporate data persistence and accessibility into your microservices, cloud-native applications, and monolithic enterprise applications. It also teaches you how to perform unit and performance testing of a component that accesses a database. And it walks you through an example of each type of SQL and NoSQL database covered. After reading this book, you'll be able to create an application that interacts with one or multiple types of databases, and conduct unit and performance testing to analyze possible problems. Source code is available on GitHub. You will: Become familiar with the Spring Data project and its modules for data access and persistence Explore various SQL and NoSQL persistence types Uncover the persistence and domain models, and handle transaction management for SQL Migrate database changes and versioning for SQL Dive into NoSQL persistence with Redis, MongoDB, Neo4j, and Cassandra Handle reactive database programming and access with R2DBC and MongoDB Conduct unit, integration, and performance testing, and more.
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