Software Data Persistence and Access Layer

A Software Data Persistence and Access Layer is a software architecture layer that manages data access (to support data operations through storage interfaces).

• AKA: ORM Layer.
• Context:
  • It can typically handle Data Operations through database interfaces.
  • It can typically manage Data Connections through connection pools.
  • It can typically optimize Data Querys through query optimizers.
  • It can typically maintain Data Caches through cache managers.
  • It can typically ensure Data Consistency through transaction managers.
  • ...
  • It can often implement Data Mapping through ORM tools.
  • It can often provide Query Building through query builders.
  • It can often manage Data Migration through migration tools.
  • It can often support Data Versioning through version controls.
  • ...
  • It can range from being a Simple Data Access to being a Complex Data Management, depending on its data complexity.
  • It can range from being a Single Database to being a Multiple Database, depending on its storage pattern.
  • It can range from being a Relational Storage to being a NoSQL Storage, depending on its database type.
  • ...
  • It can integrate with Database Layer for data storage.
  • It can connect to Cache System for performance optimization.
  • It can utilize ORM Framework for data mapping.
  • ...
• Examples:
  • ORM Tools, such as:
    • Hibernate Frameworks for Java persistence.
    • Entity Frameworks for .NET persistence.
    • Sequelize Frameworks for Node.js persistence.
  • Query Builders, such as:
    • jOOQ Tools for SQL generation.
    • QueryDSL Tools for type-safe querys.
    • Knex Tools for database querys.
  • Cache Managers, such as:
    • Redis Caches for distributed caching.
    • Memcached Systems for memory caching.
    • Ehcache Systems for local caching.
  • ...
• Counter-Examples:
  • Business Logic Layer, which handles process execution rather than data access.
  • Presentation Layer, which manages user interface rather than data storage.
  • Network Layer, which handles data transmission rather than data persistence.
• See: Data Access Pattern, ORM Pattern, Cache Management Pattern, Database Integration.

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