Popular Data Architecture frameworks
Data architecture frameworks are critical for managing and improving the complex flow of data inside an organisation. These frameworks provide standardized techniques and standards for data collection, storage, and analysis. Most common data architecture frameworks are:
1. Zachman Framework
The Zachman Framework is one of the oldest and most widely used data architecture frameworks. It offers a complete framework for defining and visualizing an enterprise’s data architecture using a matrix of viewpoints (e.g., planner, owner, designer, builder, etc.) and six critical questions. It defines six perspectives: What, How, Where, Who, When, and Why, Could function as a milestone in data architecture research since it defines the analysis that forms the basis of the study.
- Emphasizes the many perspectives of stakeholders.
- Provides a comprehensive approach to understanding data architecture.
- Ideal for sophisticated and large-scale companies.
2. Open Group Architecture Framework (TOGAF)
TOGAF is commonly used to create corporate architectures. It outlines a complete process and tools for designing, planning, executing, and managing corporate information architecture. Concentrates on connecting IT goals with business objectives while encourages iterative and staged development. Even though its principle function is to stipulate enterprise architecture, TOGAF offers a holistic method for designing, planning, implementing, as well as governance of a multitude of enterprise architectures where the data architecture components are also expounded.
3. DAMA-DMBOK (Data Management Body of Knowledge)
DAMA-DMBOK is a comprehensive framework that focuses only on data management methods. It provides best practices, ideas, and recommendations for managing data as an important corporate asset.
- Covers ten data management knowledge areas, including data governance, architecture, and quality.
- Offers a single language and structure for data management professionals.
- Highlights the significance of data governance and management.
4. C-4 Model
The C4 Model is a contemporary and simple framework for visualizing and describing software architecture. It is not just a data architecture framework, but it is extensively utilized in data-related architecture owing to its simplicity and clarity.
- To represent software systems, a hierarchical method is used, consisting of context, containers, components, and code.
- Simplifies communication between complicated structures.
- Offers a collection of recommended practices for generating clean and understandable diagrams.
What is Data Architecture?
Data architecture is the body of rules that defines within the firm how data is gathered, kept, managed, and utilized. The data architecture is the toolset, policies, and standards that help in managing the handling of data assets properly. Data is a vital asset in this respect so it can drive decision-making and also make data available and useful.
In this article, we will understand and explore the meaning, types, frameworks and delve into the depth of What is Data Architecture?
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