Introduction To Data Architecture

In today’s data driven marketplace, collecting and working with rapidly growing data is key to success. Data Architecture is a key design consideration on how to collect the data, store and manage it in an efficient manner.

In this article, we are going to discuss Data Architecture, Data Architecture Principles Framework, and Tools.

Data Architecture

For any data strategy, data architecture is an effective data strategy. Successful Data Architecture standardizes the process to capture, store, transform and deliver data to people who needs it. Recommended approach for any data architecture capabilities is to make data flow from data consumers to data sources. With this architecture, goal is to transform the business requirements into the data and system requirements. Data Architect builds , manages and optimizes the physical and logical data model.

Principles of Data Architecture

Principles of Data Architecture include rules on how to collect the data, store, integrate, manage and use data.

  1. Data Validation
  2. Data Consistency
  3. Logging and Documentation
  4. Avoid Data Redundancy
  5. Efficient Data Access
  6. Secure Data Access

Data Architecture Framework

There are multiple data architecture frameworks that are used as a foundation for building the data architecture of an organization.


DAMA is an international data management body of knowledge which is a framework designed for data management. It has all standard definitions of data management terminology, functions, roles, and guidelines.

Zachman Framework for enterprise architecture

TOGAF - The Open Group Architecture Framework

It is the most used enterprise architecture methodology to design, plan, implement and manage the data architecture best practices.

Data Architecture Drawing Tools

Correct and consistent data is critical for successful data architecture. Data Architecture diagram shows how and where the data flows, processes the data, and uses the data. Below software's are used for high tech data architecture diagrams.

  2. ER Studio
  3. Gliffy

Data Architect

Data Architect is a management professional to define data standards and principles by converting business requirements into the technical requirements. Data Architect mainly does below activities :

  • Collaboration with IT Team
  • Create a data strategy
  • Research data opportunities
  • Develop Data Models

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