Data Architecture

Models, policies, rules or standards that govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations

What is Data Architecture?

Data architecture refers to the overall design and organization of data in an organization. It includes the various components and systems that manage, store, process, and analyze data.

Data architecture defines the standards, rules, and models that guide the collection, integration, transformation, and maintenance of data throughout its lifecycle. It encompasses various aspects of data, including data governance, data modeling, data integration, data storage, data security, and data quality.

An effective data architecture is essential for organizations to derive insights, make informed decisions, and achieve their business goals. It helps to ensure that data is accurate, consistent, and accessible to the right people at the right time.

Some of the key benefits of data architecture include:

  • Improved data quality and accuracy
  • Increased efficiency and productivity in data management
  • Enhanced data security and privacy
  • Better decision-making through data analysis and insights
  • Reduced data redundancy and inconsistency
Snippet from Wikipedia: Data architecture

Data architecture consist of models, policies, rules, and standards that govern which data is collected and how it is stored, arranged, integrated, and put to use in data systems and in organizations. Data is usually one of several architecture domains that form the pillars of an enterprise architecture or solution architecture.

## ToDo ##

  • Databases
  • Data Governance
  • Conceptual / business data model
  • Logical/system model
  • Physical/technology data model
  • architecture/data.txt
  • Last modified: 2023/03/30 15:32
  • by Henrik Yllemo