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Madhusudhan Konda - Just Spring data access

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Madhusudhan Konda Just Spring data access
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Just Spring Data Access
Madhusudhan Konda
Published by OReilly Media

Beijing Cambridge Farnham Kln Sebastopol Tokyo Foreword Greg Turnquist - photo 1

Beijing Cambridge Farnham Kln Sebastopol Tokyo

Foreword
Greg Turnquist, Senior Software Engineer at SpringSource, a division of VMware, and author of Spring Python 1.1

Reading headlines like Facebook moves 30-petabyte Hadoop cluster to new data center shows that one of the biggest struggles we are facing today is Big Data and its management. Data centric applications, mobile front ends to complex data structures, and serving millions of clients accessing our datasets while handling billions of transactions a day shows that keeping data management simple and easy to handle is a first class problem in modern application development.

Thankfully, tools like Spring Data and its many utilities make it easy to access these data sets using whichever flavor of standards best fits our teams skills and needs. While Java blazed the trail by offering the flexible but consistent JDBC standard, it was the power of Spring that cut out the tedious amounts of boilerplate afforded to us by historical SQL paradigms. This has empowered developers to focus on business logic, scaling requirements, mobile platform support, and other numerous requirements while allowing Spring to handle the chores of managing connections and interacting with various data management technologies. This is analogous to migrating from the manual memory management of coding in C to Javas sophisticated garbage collection, which removed a whole host of bugs we as developers used to face every day. By reducing the total amount of code we must write to access our own Big Data, we quickly cut out a huge number of potential bugs on Day One of our own projects.

It is refreshing to read a slim and trim book like Just Spring Data Access , which avoids the ever popular thick-as-possible approach and instead tries to be as clear and to-the-point as possible. For the fledgling developer that has just joined a team that uses Spring Data, this book provides a fantastic means to catch up over the weekend and be ready to dive in on Monday. For an architect trying to choose which standard to use for a new system, it also provides a quick read, allowing him or her to start their evaluation with something more concrete than some cobbled together opinions. Finally, for the more seasoned developer, it provides a good reference to look back and polish up skills in the arena of data management and the options provided by competing Java standards. None of us are experts on everything, and having a tightly focused book is often just what we need to hone in and solve the problems we have.

Preface

There are two different worlds: the world where none other than objects are known, and the world where data is represented in a traditional row-column format. Bringing these two worlds together is always a cumbersome task, and many times is asking for trouble. However, we have no option: they must work together!

We have JDBC to some extent, but the intricacies and complexities of persistence of Java objects to a relational databases was still a greater challenge. The Object Relational Mapping frameworksHibernate being the most popular open source frameworkhas taken away a lot of pain and grief from the developer. Spring framework has gone one more step further to simplify the usage even further.

This book in an attempt in bringing the framework closer to the developer. With simple and plain language, along with easy to understand examples, this book covers just the required bits for data access in a Java world.

This book covers JDBC, Hibernate, JPA, and JDO, as well as Springs take on these technologies.

My goal is to deliver simple, straight-to-the-point explanations with intuitive, example-driven, engaging books! If you pick up the book, you should finish it in a day or two at most!

I sincerely believe that one will gain adequate knowledge and ammunition after reading this book.

One would require the basic understanding of Java and Spring Framework as a prerequisite to this book. I am expecting you to enjoy this simple read. Please do get in touch even if you are unsatisfied with my writings.

If you are in London, ping me (and perhaps buy me a coffee) for a meetup. Additionally, I am easily accessible via email ( ).

Conventions Used in This Book

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Using Code Examples

This book is here to help you get your job done. In general, you may use the code in this book in your programs and documentation. You do not need to contact us for permission unless youre reproducing a significant portion of the code. For example, writing a program that uses several chunks of code from this book does not require permission. Selling or distributing a CD-ROM of examples from OReilly books does require permission. Answering a question by citing this book and quoting example code does not require permission. Incorporating a significant amount of example code from this book into your products documentation does require permission.

We appreciate, but do not require, attribution. An attribution usually includes the title, author, publisher, and ISBN. For example: Just Spring Data Access by Madhusudhan Konda (OReilly). Copyright 2012 Madhusudhan Konda, 978-1-449-32838-2.

If you feel your use of code examples falls outside fair use or the permission given above, feel free to contact us at .

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