Object Relational Mapping
May 1, 2024
3 minute read
Object Relational Mapping (ORM) is a programming technique that allows developers to work with relational databases using an object-oriented approach. ORM frameworks, such as Sequelize for Node.js and Django, provide a layer of abstraction over the database, allowing developers to interact with data objects directly instead of writing raw SQL queries. ORM frameworks simplify database development by providing pre-built functionality for common database operations such as creating, reading, updating, and deleting (CRUD) data.
Why Learn Object Relational Mapping?
There are several reasons why developers may want to learn ORM:
-
Improved Productivity: ORM frameworks streamline database development by automating repetitive tasks and reducing the need for manual coding, which can significantly improve productivity.
-
Reduced Complexity: ORM frameworks simplify database programming by providing a consistent and intuitive interface for working with data, which can reduce the complexity of database development.
-
Enhanced Data Integrity: ORM frameworks provide built-in data validation and error handling, which can help maintain data integrity and reduce the risk of data corruption.
-
Cross-Language and Database Compatibility: Some ORM frameworks support multiple programming languages and databases, providing developers with flexibility and portability in their database development.
How Online Courses Can Help
qmd1qf|
Find a path to becoming a Object Relational Mapping. Learn more at:
OpenCourser.com/topic/qmd1qf/object
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Object Relational Mapping.
Focuses on the Hibernate ORM for Java, providing a detailed guide to using Hibernate for object-relational mapping, including advanced topics such as caching and performance optimization.
Provides an in-depth look at Hibernate and JPA, focusing on advanced topics such as second-level caching, entity inheritance, and performance tuning.
Focuses on the Entity Framework Core ORM for .NET, providing a comprehensive guide to using Entity Framework Core for object-relational mapping in .NET applications.
Explores the concepts of object-oriented database design and implementation, including object-relational mapping and the use of ORMs to bridge the gap between object-oriented programming and relational databases.
Focuses on the Spring Data JPA module, providing a comprehensive guide to using Spring Data JPA for ORM and data access in Java applications.
Provides a comprehensive overview of object-relational database systems, including a chapter on ORMs that discusses the different types of ORMs and their advantages and disadvantages.
Covers the internals of database systems, providing a deeper understanding of how data is stored and managed in databases, including a discussion of ORMs and their role in bridging the gap between object-oriented programming and relational databases.
Covers ORM in the context of the Ruby on Rails framework, providing a practical guide to using ORMs with Rails and understanding the underlying concepts.
Covers a wide range of JavaScript topics and includes a chapter on ORMs, providing an introduction to the concept of ORM and how it can be used to interact with databases in a more object-oriented manner.
Provides a general overview of databases, including a chapter on ORMs that discusses the benefits and challenges of using ORMs.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/qmd1qf/object