Spring Data (Paperback)
暫譯: Spring Data (平裝本)

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)

您在建立與關聯式資料庫互動的 Java 企業應用程式時，可以選擇幾個資料存取框架。但大數據呢？這本實作導向的入門書將向您展示如何使用 Spring Data 使得在各種新資料存取技術（如 NoSQL 和 Hadoop）上構建應用程式變得相對簡單。

透過幾個範例專案，您將學習到 Spring Data 如何提供一致的程式設計模型，保留 NoSQL 特有的功能和特性，並幫助您在各種使用案例中開發 Hadoop 應用程式，例如資料分析、事件串流處理和工作流程。您還將發現 Spring Data 為 Spring 現有的 JPA 和 JDBC 支援添加的功能，以便撰寫基於 RDBMS 的資料存取層。

- 了解 Spring 的模板輔助類別，以簡化資料庫特定功能的使用
- 探索 Spring Data 的儲存庫抽象和進階查詢功能
- 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）
- 發現 GemFire 分散式資料網格解決方案
- 將 Spring Data JPA 管理的實體匯出為 RESTful 網路服務
- 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 構建範例大數據管道

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