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What are the different types of data architecture?

The architectural components of today's data architectural world are: Data pipelines. Cloud storage. APIs. AI & ML models. Data streaming. Kubernetes. Cloud computing. Real-time analytics.


What is data architecture with example?

Data architecture is a discipline that documents an organization's data assets, maps how data flows through its systems and provides a blueprint for managing data. The goal is to ensure that data is managed properly and meets business needs for information.

What is a data architecture model?

Data architecture definition It is an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. An organization's data architecture is the purview of data architects.

What are the three essential models in data architecture?

A data model is an abstract representation of the real-world entities that interoperate within an organization's business environment. It represents data entities, their attributes and how those entities relate to each other. There are three types of data models: conceptual, logical and physical.

What are the layers of data architecture?

The platform consists of several components that can be categorized into common layers that each have a certain function. These layers are: Data Sources, Integration Layer, Processing Layer, Storage Layer, Analytics Layer, Visualization Layer, Security, and Data Governance (Figure 1).

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