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
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:
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.