Get the free Polymorphic Data Modeling

This thesis presents a new data modeling standard for NoSQL document store databases, addressing the lack of existing standards. It introduces a modeling pattern called the Polymorphic Table Pattern, which complements NoSQL\'s schemaless nature while enabling data modelers to utilize their existing skills. The work demonstrates the proposed standard through practical examples using MongoDB.

How to fill out polymorphic data modeling

How to fill out polymorphic data modeling

1. Identify the data entities that will share common attributes.
2. Determine the relationships between these entities.
3. Create a base table that contains the common attributes.
4. For each entity, create a separate table that extends the base table with specific attributes.
5. Use a foreign key in each specific table to link back to the base table.
6. Implement polymorphic associations where applicable, allowing relationships to point to different types of entities.
7. Utilize an ORM (Object-Relational Mapping) framework to simplify the handling of polymorphic relationships.

Who needs polymorphic data modeling?

1. Developers who work with databases that require flexible data models.
2. Applications that manage multiple types of entities sharing a common structure.
3. Teams working on large-scale software that relies on inheritance in data modeling.
4. Organisations implementing microservices that require shared resources.
5. Data analysts who need to query complex relationships in a streamlined manner.

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What is polymorphic data modeling?

Polymorphic data modeling refers to a data modeling technique that allows for the representation of multiple data types and structures within a unified model, enabling flexibility in how data can be stored, queried, and manipulated.

Who is required to file polymorphic data modeling?

Entities that represent or utilize polymorphic data structures in their applications, databases, or systems are typically required to file polymorphic data modeling in accordance with relevant regulatory or organizational standards.

How to fill out polymorphic data modeling?

To fill out polymorphic data modeling, users should define the types of entities involved, specify their attributes, map relationships between different data types, and ensure compliance with the required format and guidelines provided by the governing body overseeing the process.

What is the purpose of polymorphic data modeling?

The purpose of polymorphic data modeling is to create a flexible and efficient way to handle diverse data types within a system, enabling better data integration, analysis, and application development.

What information must be reported on polymorphic data modeling?

Information that must be reported includes the data types used, their relationships, attributes, constraints, and any relevant metadata necessary for understanding the data structure and its use cases.