====== Spring Data ====== 
Spring Data는 데이터베이스 관련 많은 하위 프로젝트를 포함하는 오픈 소스 프로젝트로, non-relational databases, map-reduce frameworks, and cloud based data services 등의 새로운 데이터 액세스 기술을  보다 쉽게 사용 할 수 있는 기능을 제공한다. 또한 관계형 데이터베이스 기술에 대한 향상된 지원도 제공한다. 

* **Spring Data Project **
^ Category ^ Sub-Project ^ ^
| Relational Databases | JPA | Spring Data JPA - Simplifies the development of creating a JPA-based data access layer|
| | JDBC Extensions | Support for Oracle RAC, Advanced Queuing, and Advanced datatypes. Support for using QueryDSL with JdbcTemplate.|
| Big Data | Apache Hadoop | e Apache Hadoop project is an open-source implementation of frameworks for reliable, scalable, distributed computing and data \storage. | 
| Data-Grid | GemFire | VMware vFabric GemFire is a distributed data management platform providing dynamic scalability, high performance, and database-like \persistence. It blends advanced techniques like replication, partitioning, data-aware routing, and continuous querying. |
| HTTP | REST | Spring Data REST - Perform CRUD operations of your persistence model using HTTP and Spring Data Repositories. |
| Key Value Stores | Redis | Redis is an open source, advanced key-value store.|
| Document Stores | MongoDB | MongoDB is a scalable, high-performance, open source, document-oriented database. |
| Graph Databases | Neo4j | Neo4j is a graph database, a fully transactional database that stores data structured as graphs. |
| Column Stores | HBase | Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable. HBase functionality is \part of the Spring for Apache Hadoop project. |
| Common Infrastructure | Commons | Provides shared infrastructure for use across various data access projects. General support for cross-database persistence is located here | 







====== Reference ======
http://projects.spring.io/spring-data/