東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Beginning Spring Data = data access ...

Sacco, Andres.

Linked to FindBook

Google Book

Amazon

博客來

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Beginning Spring Data/ by Andres Sacco.
Reminder of title:	data access and persistence for Spring Framework 6 and Boot 3 /
Author:	Sacco, Andres.
Published:	Berkeley, CA :Apress : : 2023.,
Description:	xxii, 417 p. :ill., digital ;24 cm.
[NT 15003449]:	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
Subject:	Application software - Development. -
Online resource:	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 /
LDR:02893nmm a2200325 a 4500 001 2315235
003 DE-He213
005 20221228045037.0
006 m d
007 cr nn 008mamaa
008 230902s2023 cau s 0 eng d
020 $a 9781484287644 $q (electronic bk.)
020 $a 9781484287637 $q (paper)
024 7 $a 10.1007/978-1-4842-8764-4 $2 doi
035 $a 978-1-4842-8764-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.73.J38 $b S23 2023
072 7 $a UMX $2 bicssc
072 7 $a COM051280 $2 bisacsh
072 7 $a UMX $2 thema
082 0 4 $a 005.1 $2 23
090 $a QA76.73.J38 $b S119 2023
100 1 $a Sacco, Andres. $3 3593867
245 1 0 $a Beginning Spring Data $h [electronic resource] : $b data access and persistence for Spring Framework 6 and Boot 3 / $c by Andres Sacco.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2023.
300 $a xxii, 417 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
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.
650 0 $a Application software $x Development. $3 539563
650 0 $a Java (Computer program language) $3 522522
650 1 4 $a Java. $3 517732
650 2 4 $a Programming Language. $3 3538935
650 2 4 $a Computer Science. $3 626642
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-1-4842-8764-4
950 $a Professional and Applied Computing (SpringerNature-12059)