Logo

Spring Data: Modern Data Access for Enterprise Java

Small book cover: Spring Data: Modern Data Access for Enterprise Java

Spring Data: Modern Data Access for Enterprise Java
by

Publisher: O'Reilly Media
Number of pages: 456

Description:
This book shows you how Spring's data access framework can help you connect to either non-relational or relational databases, or a combination of the two. You'll learn how Spring Data's familiar and consistent programming model greatly reduces the learning curve for creating applications with newer data access technologies. And you'll discover how to use Spring Data's improved JPA and JDBC support to increase your productivity when writing RDBMS-based data access layers.

Download or read it online for free here:
Read online
(online reading)

Similar books

Book cover: Programming PigProgramming Pig
by - O'Reilly Media
Apache Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs. The structure of Pig programs is amenable to parallelization, which enables them to handle very large data sets.
(7655 views)
Book cover: Data Mining for the MassesData Mining for the Masses
by - Global Text Project
In this book, professor Matt North uses simple examples, clear explanations and free, powerful, easy-to-use software to teach you the basics of data mining; techniques that can help you answer some of your toughest business questions.
(8680 views)
Book cover: MySQL EssentialsMySQL Essentials
- Techotopia
This ebook provides a step by step path to proficiency with MySQL. Beginning with the relational database basics and the installation of MySQL, the book covers everything needed to successfully build, maintain and secure MySQL based databases.
(12097 views)
Book cover: Mastering Apache Spark 2.0Mastering Apache Spark 2.0
by - GitBook
This collections of notes (what some may rashly call a 'book') serves as the ultimate place of mine to collect all the nuts and bolts of using Apache Spark. The notes aim to help me designing and developing better products with Apache Spark.
(4089 views)