Tuesday 14 January 2014
FRAMEWORK: ORM – Object Relational Mapping
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ORM (Object Relational Mapping) is a programming concept of a mapping between Object Oriented Programming and Relational Database. It’s the technique to frame the components of Relational Database to Object Oriented Programming, to do CRUD operations. It creates an object oriented representation of a relational database, so that developers can push or pop data to database as an object.
Databases are designed on the basis of Mathematical principle where as programming languages like Java, C++, C# are based on Object Oriented Programming principle. Objects have behavior and attribute, it’s good on business modeling where on the other hand database is only deals with large amount of data. Now due to this conceptual deference, in real life scenario, database transactions become unmanageable, when we are dealing with large amount of data transaction. So to bridge this difference, ORM is introduced. It’s the process of mapping tables to class objects, so that data transactions could be easier.
Pros:
- Create classes replicating database tables, in programming language side, so that programs can interacts with objects not direct tables.
- Provides APIs for normal CRUD (Create Read Update Delete) operations, so no need to write queries for that.
- Some provides query language which is database independent.
- Provision to interact with multiple databases.
- Helps to manage business logic easily when dealing with big amount of data, and lots of database transaction.
Corns:
- No need to use when your application doesn't involve much database interaction.
- Little bit heavier than native database connectivity.
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ORM, a bridge between OOP and databases, simplifies data handling. It's a boon for managing complex transactions and business logic, though it's not essential for every application.
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This post excellently explains Object-Relational Mapping (ORM), a crucial bridge between Object-Oriented Programming and Relational Databases. It highlights the benefits of simplifying data transactions and business logic while acknowledging its minimal overhead for less database-dependent applications. Great overview!
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This article brilliantly explains the significance of Object Relational Mapping (ORM) in bridging the gap between Object-Oriented Programming and relational databases. It highlights the key advantages of ORM, such as simplifying CRUD operations, providing database independence, and easing the management of complex data transactions. A concise and informative read for developers!
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It simplifies data manipulation by allowing developers to work with objects in their code, while the ORM takes care of translating these objects into database queries and vice versa.
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"Step into the fascinating realm of data abstraction with the insightful blog on ORM – Object Relational Mapping. As the bridge between the object-oriented and relational worlds, this framework reshapes the landscape of database interactions. Dive deep into the intricacies of ORM, where every line of code becomes a strategic link between the application and the database. This blog serves as a compass for developers navigating the complexities of data mapping, offering a unique perspective on how ORM elevates efficiency and flexibility in modern software development. Unlock the power of abstraction and reimagine the way you interact with databases."
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ORM (Object Relational Mapping) serves as an effective bridge between object-oriented programming and relational databases, simplifying data management through the mapping of database tables to class objects. This approach allows developers to perform CRUD operations without dealing directly with SQL queries, thus enhancing productivity and readability.
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