What is Canonical Schema?
The term “canonical schema” refers to a uniform and standardized data model that may be used in any system, database, or program.
- Canonical schema provides a standardized file format that can be read and understood by any and all computers involved in the data’s interchange or processing.
Even if data is stored or organized in a variety of ways, this helps maintain its integrity, consistency, and interoperability across many systems and applications.
Data fields’ formats, kinds, and restrictions, as well as any rules for working with the data, are often specified in a canonical schema. The links and dependencies between fields, as well as their lengths and allowed values, may also be specified.
Canonical schema development and upkeep may be a challenging procedure that calls for tight cooperation across several teams or departments within an organization. Working with business analysts or domain experts to understand the requirements of the various systems and applications that will use the data is an important part of this process. Other IT professionals, such as data architects and database administrators, may also be involved.
Canonical Data Model is a design pattern used in software development for breaking down a data model into its constituent parts — namely, Identify, Persist, and Domain — to make the model more manageable and testable.
What is the Canonical Data Model?
Canonical data models are design patterns used to standardize data representation in various software and hardware environments.
- The goal of a canonical data model is to provide a standard, domain-specific data model that may serve as a guideline for data representation in different kinds of software. As a result, it may be less of a hassle to integrate and transfer data across apps, and data will be more consistent and compatible across systems.In most cases, the canonical data model pattern is tailored to the requirements of the application area it will be employed. It dictates how information should be represented and how the data should be accessed and used in various situations. A retail store’s canonical data model, for instance, may define and explain the relationships between customers, items, and orders.
- Using a canonical data model may simplify the process of sharing and integrating data across systems, saving a great deal of time and money.It’s important to remember that this pattern may be used with a wide variety of data formats and storage mechanisms, such as the canonical data model, which can be used to map not just JSON and XML, but CSV and SQL databases as well.
Canonical Data Model structure
The following components are commonplace in every canonical data model:
- In a data model, entities are the fundamental elements that stand in for the most important ideas or physical things in the domain. Customers, merchandise, and orders are all examples of entities that may be encountered in a retail setting.
- The features that make up an entity are attributes.
E.g., Name, address, and phone number can be associated with a customer entity, whereas name, price, and stock quantity are associated with a product entity.
- The canonical data model also specifies the connections between each entity type.
E.g., It may state that a consumer may make several purchases and that each purchase can include several different items.
- Data integrity and consistency may be maintained by using predefined constraints that are defined by the canonical data model. These include cardinality and business rules.
E.g., An order must have at least one product, or each product must have a unique name.
- Canonical data models specify what changes should be made to data before it is transferred across systems. There may be rules for transforming information between formats and mappings between various data models.
- Data governance is aided by namespaces and taxonomies, which provide a standardized vocabulary for defining ideas across systems and a framework for categorizing and arranging information.
What a canonical structure looks like on the whole is determined by the requirements of the domain and systems. It is a framework that can be molded to meet the changing needs of the company and the state of technology.