Spring Data
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Spring Data
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Author : Mark Pollack
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2012-10-24
Spring Data written by Mark Pollack and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-24 with Computers categories.
You can choose several data access frameworks when building Java enterprise applications that work with relational databases. But what about big data? This hands-on introduction shows you how Spring Data makes it relatively easy to build applications across a wide range of new data access technologies such as NoSQL and Hadoop. Through several sample projects, you’ll learn how Spring Data provides a consistent programming model that retains NoSQL-specific features and capabilities, and helps you develop Hadoop applications across a wide range of use-cases such as data analysis, event stream processing, and workflow. You’ll also discover the features Spring Data adds to Spring’s existing JPA and JDBC support for writing RDBMS-based data access layers. Learn about Spring’s template helper classes to simplify the use of database-specific functionality Explore Spring Data’s repository abstraction and advanced query functionality Use Spring Data with Redis (key/value store), HBase (column-family), MongoDB (document database), and Neo4j (graph database) Discover the GemFire distributed data grid solution Export Spring Data JPA-managed entities to the Web as RESTful web services Simplify the development of HBase applications, using a lightweight object-mapping framework Build example big-data pipelines with Spring Batch and Spring Integration
Spring Data
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Author : Mark Pollack
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2012-10-12
Spring Data written by Mark Pollack and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-12 with Computers categories.
You can choose several data access frameworks when building Java enterprise applications that work with relational databases. But what about big data? This hands-on introduction shows you how Spring Data makes it relatively easy to build applications across a wide range of new data access technologies such as NoSQL and Hadoop. Through several sample projects, you’ll learn how Spring Data provides a consistent programming model that retains NoSQL-specific features and capabilities, and helps you develop Hadoop applications across a wide range of use-cases such as data analysis, event stream processing, and workflow. You’ll also discover the features Spring Data adds to Spring’s existing JPA and JDBC support for writing RDBMS-based data access layers. Learn about Spring’s template helper classes to simplify the use ofdatabase-specific functionality Explore Spring Data’s repository abstraction and advanced query functionality Use Spring Data with Redis (key/value store), HBase(column-family), MongoDB (document database), and Neo4j (graph database) Discover the GemFire distributed data grid solution Export Spring Data JPA-managed entities to the Web as RESTful web services Simplify the development of HBase applications, using a lightweight object-mapping framework Build example big-data pipelines with Spring Batch and Spring Integration
Java Persistence With Spring Data And Hibernate
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Author : Catalin Tudose
language : en
Publisher: Simon and Schuster
Release Date : 2023-04-18
Java Persistence With Spring Data And Hibernate written by Catalin Tudose and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-18 with Computers categories.
Master Java persistence using the industry-leading tools Spring Data and Hibernate. In Java Persistence with Spring Data and Hibernate you will learn: Mapping persistent classes, value types, and inheritance Mapping collections and entity associations Processing transactions with Spring Data and Hibernate Creating fetch plans, strategies, and profiles Filtering data Building Spring Data REST projects Using Java persistence with non-relational databases Querying JPA with QueryDSL Testing Java persistence applications Java Persistence with Spring Data and Hibernate teaches you the ins-and-outs of Java persistence with hands-on examples using Spring Data, JPA, and Hibernate. The book carefully analyzes the capabilities of the major Java persistence tools, and guides you through the most common use cases. By comparing and contrasting the alternatives, you’ll find it easy to choose the right tool choice for your applications. You’ll learn how to make and utilize mapping strategies, about the different approach to transactions for both Hibernate and Spring Data, and even how to efficiently test Java persistence applications. The practical techniques are demonstrated with both relational and non-relational databases. Forewords by Dmitry Aleksandrov and Mohamed Taman. About the technology Effectively managing application data is essential for any serious application. Spring Data and Hibernate bridge the gap between object-oriented code and relational data stores, radically simplifying Java persistence. By implementing the Java Persistence API (JPA) standard, these powerful tools help you avoid common bugs related to state and application data storage. About the book Java Persistence with Spring Data and Hibernate explores Java persistence using industry-standard tools. Hands-on examples introduce object-relational mapping and guide you through different mapping strategies to suit your needs. Covering transactions, persistent application testing, and non-relational databases, this book is your go-to resource for managing data in Java applications. What's inside Mapping persistent classes, value types, and inheritance Creating fetch plans, strategies, and profiles Building Spring Data REST projects Querying JPA with QueryDSL About the reader For intermediate Java programmers. About the author Catalin Tudose has more than 20 years of experience in the Java community. Christian Bauer, Gavin King, and Gary Gregory are the authors of Java Persistence with Hibernate, Second Edition, on which this book is based. Table of Contents PART 1 - GETTING STARTED WITH ORM 1 Understanding object/relational persistence 2 Starting a project 3 Domain models and metadata 4 Working with Spring Data JPA PART 2 - MAPPING STRATEGIES 5 Mapping persistent classes 6 Mapping value types 7 Mapping inheritance 8 Mapping collections and entity associations 9 Advanced entity association mappings PART 3 - TRANSACTIONAL DATA PROCESSING 10 Managing data 11 Transactions and concurrency 12 Fetch plans, strategies, and profiles 13 Filtering data PART 4 - BUILDING JAVA PERSISTENCE APPLICATIONS WITH SPRING 14 Integrating JPA and Hibernate with Spring 15 Working with Spring Data JDBC 16 Working with Spring Data REST PART 5 - BUILDING JAVA PERSISTENCE APPLICATIONS WITH SPRING 17 Working with Spring Data MongoDB 18 Working with Hibernate OGM PART 6 - WRITING QUERIES AND TESTING JAVA PERSISTENCE APPLICATIONS 19 Querying JPA with Querydsl 20 Testing Java persistence applications
Spring Data
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Author : Petri Kainulainen
language : en
Publisher: Packt Pub Limited
Release Date : 2012
Spring Data written by Petri Kainulainen and has been published by Packt Pub Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Computers categories.
This book is a standard tutorial which provides step-by-step instructions and a lot of code examples that are easy to follow and help you to get started from page one. This book is suited for developers who are working with Spring-powered applications, and are looking for an easier way to write data access code that uses relational databases. Also, if you are interested in learning how you can utilize Redis in your applications, this is the book for you. This book assumes that you have got some experience with the Spring Framework and the Java Persistence API. No previous experience with Redis is required.
Just Spring Data Access
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Author : Madhusudhan Konda
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2012-06-09
Just Spring Data Access written by Madhusudhan Konda and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-09 with Computers categories.
JDBC has simplified database access in Java applications, but a few nagging wrinkles remain—namely, persisting Java objects to relational databases. With this book, you’ll learn how the Spring Framework makes that job incredibly easy with dependency injection, template classes, and object-relational-mapping (ORM). Through sample code, you’ll discover how Spring streamlines the use of JDBC and ORM tools such as Hibernate, the Java Persistence API (JPA), and Java Data Objects (JDO). If you’re a Java developer familiar with Spring (perhaps through O’Reilly’s Just Spring tutorial) and want to advance your data access skills, this book shows you how. Learn how to use Spring’s basic and advanced data access tools Work with Spring’s JdbcTemplate class to separate non-critical code from business code Eliminate placeholder variables in your queries with the NamedParameterJdbcTemplate class Use Spring’s template classes to perform batch executions Operate inserts on database tables without writing any SQL statements Learn about Spring’s support for Hibernate as an object-relational-mapping tool Use JPA as a standards-based ORM—alone or with Spring support Move data from a relational to a non-relational database with JDO
Java Persistence With Spring Data And Hibernate
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Author : Catalin Tudose
language : en
Publisher: Simon and Schuster
Release Date : 2023-02-28
Java Persistence With Spring Data And Hibernate written by Catalin Tudose and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-28 with Computers categories.
Master Java persistence using the industry-leading tools Spring Data and Hibernate. Java Persistence with Spring Data and Hibernate dives deep into persistence with the most popular available tools including Spring Data JPA, Spring Data JDBC, Spring Data REST, JPA, and Hibernate. Begin with a hands-on introduction to object-relational mapping (ORM), then dive into mapping strategies for linking up objects and your database. You’ll learn about the different approach to transactions for both Hibernate and Spring Data, and even how to deliver Java persistence with non-relational databases. Finally, you’ll explore testing strategies for persistent applications to keep your code clean and bug free. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Spring Data Standard Guide
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Author : Petri Kainulainen
language : en
Publisher: Packt Publishing Ltd
Release Date : 2012-11-05
Spring Data Standard Guide written by Petri Kainulainen and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-05 with Computers categories.
Implement JPA repositories and harness the performance of Redis in your applications.
Beginning Spring Data
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Author : Andres Sacco
language : en
Publisher: Apress
Release Date : 2022-12-29
Beginning Spring Data written by Andres Sacco and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-29 with Computers categories.
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. What You’ll Learn 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 Who This Book Is For Experienced Java software application developers; programmers with experience using the Spring framework or the Spring Boot micro framework
Getting Started With Spring Framework Covers Spring 5 4th Edition
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Author : Ashish Sarin
language : en
Publisher:
Release Date : 2017-11-28
Getting Started With Spring Framework Covers Spring 5 4th Edition written by Ashish Sarin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-28 with categories.
Chapter 1 of this book is now available online: bit.ly/2z8ErGg 4th Edition reflects changes to Spring 5, and includes new chapters on Functional and Reactive application development. Reactive application development chapters cover Reactive Streams specification, RxJava 2, Reactor, Spring WebFlux, and reactive support in Spring Data and Spring Security. The examples (consisting of 88 sample projects) that accompany this book are based on Spring 5.0.1 and Java 9. You can download the examples described in this book from the following GitHub project: github.com/getting-started-with-spring/4thEdition This book covers: - Spring Framework basics - Aspect-oriented programming - Database interaction using Spring and Hibernate/JPA - Spring Data JPA - Spring Data MongoDB - Messaging, emailing and caching support - Spring Web MVC - Developing RESTful web services using Spring Web MVC - Functional programming using lambdas and method references - Stream API - Reactive programming using RxJava 2 and Reactor - Spring WebFlux - Reactive support in Spring Data MongoDB and Spring Security - Developing reactive RESTful web services using Spring WebFlux, Spring Security and Spring Data MongoDB
Just Spring Data Access
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Author : Madhusudhan Konda
language : en
Publisher:
Release Date : 2012
Just Spring Data Access written by Madhusudhan Konda and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Application software categories.
JDBC has simplified database access in Java applications, but a few nagging wrinkles remain{u2014}namely, persisting Java objects to relational databases. With this book, you{u2019}ll learn how the Spring Framework makes that job incredibly easy with dependency injection, template classes, and object-relational-mapping (ORM). Through sample code, you{u2019}ll discover how Spring streamlines the use of JDBC and ORM tools such as Hibernate, the Java Persistence API (JPA), and Java Data Objects (JDO). If you{u2019}re a Java developer familiar with Spring (perhaps through O{u2019}Reilly{u2019}s Just Spring tutorial) and want to advance your data access skills, this book shows you how. Learn how to use Spring{u2019}s basic and advanced data access tools Work with Spring{u2019}s JdbcTemplate class to separate non-critical code from business code Eliminate placeholder variables in your queries with the NamedParameterJdbcTemplate class Use Spring{u2019}s template classes to perform batch executions Operate inserts on database tables without writing any SQL statements Learn about Spring{u2019}s support for Hibernate as an object-relational-mapping tool Use JPA as a standards-based ORM{u2014}alone or with Spring support Move data from a relational to a non-relational database with JDO.