Spring Data (Paperback) (春季數據)

Mark Pollack, Oliver Gierke, Thomas Risberg, Jon Brisbin, Michael Hunger

Spring Data (Paperback)

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商品描述

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

商品描述(中文翻譯)

在建立與關聯式資料庫一起運作的Java企業應用程式時，您可以選擇多種資料存取框架。但是對於大數據呢？這本實踐導向的介紹將向您展示Spring Data如何相對輕鬆地建立應用程式，以應對各種新的資料存取技術，例如NoSQL和Hadoop。

通過幾個範例專案，您將學習到Spring Data提供了一致的程式設計模型，保留了NoSQL特定的功能和能力，並幫助您開發Hadoop應用程式，應對各種用例，例如資料分析、事件流處理和工作流程。您還將發現Spring Data為Spring現有的JPA和JDBC支援添加的功能，用於撰寫基於關聯式資料庫的資料存取層。

- 了解Spring的模板輔助類，以簡化使用資料庫特定功能
- 探索Spring Data的存儲庫抽象和高級查詢功能
- 使用Spring Data與Redis（鍵/值存儲）、HBase（列族）、MongoDB（文件資料庫）和Neo4j（圖形資料庫）
- 探索GemFire分散式資料網格解決方案
- 將由Spring Data JPA管理的實體導出為RESTful網頁服務
- 使用輕量級物件映射框架簡化HBase應用程式的開發
- 使用Spring Batch和Spring Integration建立示例大數據流程管道

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