Op werkdagen voor 23:00 besteld, morgen in huis Gratis verzending vanaf €20
010-4091959
Spring Data
Mark Pollack

Dr. Mark Pollack has worked on Big Data solutions in High Energy Physics at Brookhaven National Laboratory and then moved to the financial services industry as a technical lead or architect for front office trading systems.

Meer over de auteurs
, , e.a.

Spring Data

Modern Data Access for Enterprise Java
Specificaties
Paperback, 288 blz. | Engels
O'Reilly | 1e druk, 2012
ISBN13: 9781449323950
Rubricering
Hoofdrubriek : Computer en informatica
O'Reilly 1e druk, 2012 9781449323950
Verwachte levertijd ongeveer 16 werkdagen
45,97
In winkelwagen
 

Samenvatting

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

Specificaties

ISBN13:9781449323950
Taal:Engels
Bindwijze:paperback
Aantal pagina's:288
Uitgever:O'Reilly
Druk:1
Verschijningsdatum:20-10-2012
Hoofdrubriek:Computer en informatica

Over Mark Pollack

Dr. Mark Pollack has worked on Big Data solutions in High Energy Physics at Brookhaven National Laboratory and then moved to the financial services industry as a technical lead or architect for front office trading systems. Always interested in best practices and improving the software development process, Mark has been a core Spring (Java) developer since 2003 and founded its Microsoft counterpart, Spring.NET, in 2004.Mark now leads the Spring Data project that aims to simplify application development with new data technologies around Big Data and NoSQL databases.

Andere boeken door Mark Pollack

Over Oliver Gierke

Oliver Gierke is engineer at SpringSource, a division of VMware, project lead of the Spring Data JPA, MongoDB and core module. He has been into developing enterprise applications and open source projects for over 6 years now. His working focus is centered around software architecture, Spring and persistence technologies. He is regularly speaking at German and international conferences as well as author of technology articles.

Andere boeken door Oliver Gierke

Over Thomas Risberg

Thomas Risberg is currently a member of the Spring Data team focusing on the MongoDB and JDBC Extensions projects. He is also a committer on the Spring Framework project, primarily contributing to enhancements of the JDBC framework portion. Thomas works on the VMware's Cloud Foundry team developing integration for the various frameworks and languages supported by the Cloud Foundry project. Thomas is co-author of “Professional Java Development with the Spring Framework” together with Rod Johnson, Juergen Hoeller, Alef Arendsen, and Colin Sampaleanu, published by Wiley in 2005.

Andere boeken door Thomas Risberg

Inhoudsopgave

Foreword
Preface

Part 1: Background
1. The Spring Data Project
-NoSQL Data Access for Spring Developers
-General Themes
-The Domain
-The Sample Code

2. Repositories: Convenient Data Access Layers
-Quick Start
-Defining Query Methods
-Defining Repositories
-IDE Integration

3. Type-Safe Querying Using Querydsl
-Introduction to Querydsl
-Generating the Query Metamodel
-Integration with Spring Data Repositories

Part 2: Relational Databases
4. JPA Repositories
-The Sample Project
-The Traditional Approach
-Bootstrapping the Sample Code
-Using Spring Data Repositories

5. Type-Safe JDBC Programming with Querydsl SQL
-The Sample Project and Setup
-The QueryDslJdbcTemplate
-Executing Queries
-Insert, Update, and Delete Operations

Part 3: NoSQL
6. MongoDB: A Document Store
-MongoDB in a Nutshell
-Setting Up the Infrastructure Using the Spring Namespace
-The Mapping Subsystem
-MongoTemplate
-Mongo Repositories

7. Neo4j: A Graph Database
-Graph Databases
-Neo4j
-Spring Data Neo4j Overview
-Modeling the Domain as a Graph
-Persisting Domain Objects with Spring Data Neo4j
-Combining Graph and Repository Power
-Advanced Graph Use Cases in the Example Domain
-Transactions, Entity Life Cycle, and Fetch Strategies
-Advanced Mapping Mode
-Working with Neo4j Server
-Continuing From Here

8. Redis: A Key/Value Store
-Redis in a Nutshell
-Connecting to Redis
-Object Conversion
-Object Mapping
-Atomic Counters
-Pub/Sub Functionality
-Using Spring's Cache Abstraction with Redis

Part 4: Rapid Application Development
9. Persistence Layers with Spring Roo
-A Brief Introduction to Roo
-Roo's Persistence Layers
-Quick Start
-A Spring Roo JPA Repository Example
-A Spring Roo MongoDB Repository Example

10. REST Repository Exporter
-The Sample Project

Part 5: Big Data
11. Spring for Apache Hadoop
-Challenges Developing with Hadoop
-Hello World
-Hello World Revealed
-Hello World Using Spring for Apache Hadoop
-Scripting HDFS on the JVM
-Combining HDFS Scripting and Job Submission
-Job Scheduling

12. Analyzing Data with Hadoop
-Using Hive
-Using Pig
-Using HBase

13. Creating Big Data Pipelines with Spring Batch and Spring Integration
-Collecting and Loading Data into HDFS
-Hadoop Workflows
-Exporting Data from HDFS
-Collecting and Loading Data into Splunk

Part 6: Data Grids
14. GemFire: A Distributed Data Grid
-GemFire in a Nutshell
-Caches and Regions
-How to Get GemFire
-Configuring GemFire with the Spring XML Namespace
-Data Access with GemfireTemplate
-Repository Usage
-Continuous Query Support

Bibliography

Index

Anderen die dit boek kochten, kochten ook

Net verschenen

Rubrieken

Uw cookie-instellingen
Deze website maakt gebruik van verschillende soorten cookies. Sommige cookies worden geplaatst door diensten van derden die op onze pagina's worden weergegeven. Om deze externe content te kunnen tonen is nodig dat u toestemming geeft voor het zetten van persoonlijke en marketingcookies. U kunt uw toestemming op elk moment wijzigen of intrekken. In onze cookieverklaring vindt u meer informatie.

Populaire producten

    Personen

      Trefwoorden

        Spring Data

        Recensiebeleid
        Noordhoff terugkoopgarantie

        Noordhoff koopt jouw boek terug, zonder zorgen!

        Heb je jouw boeken niet meer nodig?

        Als je jouw studieboeken gekocht hebt bij hanzestudybook.nl, kun je geselecteerde titels moeiteloos terugverkopen aan Noordhoff. Geen vragen, geen gedoe en lekker duurzaam.

        Volledige informatie op Noordhoff.nl

        AI-book

        Wat is een AI-book?

        Een AI-book is niet een boek dat geschreven is door AI maar een boek dat verrijkt is met AI. Het maakt de inhoud van een boek interactief via WhatsApp, zodat je ermee kunt chatten. Zie het als een razend slimme assistent die het boek perfect begrijpt en er alles uit onthouden heeft. Jij kunt deze assistent alles vragen. Vraag bijvoorbeeld hoe je iets kunt toepassen op jouw persoonlijke situatie, om een korte samenvatting, of wat de belangrijkste inzichten zijn. AI-books zijn alleen te gebruiken via WhatsApp, je hoeft er geen aparte app voor te installeren.
        Meer informatie over AI-books

        ?

        Geef uw beoordeling

        Spring Data

        Verwijder uw beoordeling