What technologies and principles is Spring Data built on?

Spring Data is built on the following technologies and principles:

• Spring Framework: Serves as the foundation, providing IoC container, AOP (aspect-oriented programming), and transaction management.
• JPA (Java Persistence API): A standard for object-relational mapping in Java. Spring Data JPA uses it to work with relational databases.
• NoSQL technologies: Spring Data offers modules for integration with various NoSQL databases (e.g., MongoDB, Redis, Cassandra).
• Data Stores: Support for a wide range of storage types, both relational and NoSQL.
• Repository Design Pattern: A key principle that abstracts data access.
• CRUD operations: Provides ready-to-use interfaces for basic operations (Create, Read, Update, Delete).
• Derived Queries: Automatic generation of queries based on method names in repository interfaces.
• Specifications and Examples: Mechanisms for building more complex, dynamic queries.
• Projections: A mechanism to retrieve only the necessary part of data from entities.
• Configuration: Can be set up using XML, JavaConfig, or Spring Boot's auto-configuration.
• Modular Design: Separation into modules for different storage types and technologies.

These elements collectively provide a high level of abstraction and simplify data handling in Spring applications.