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What are the types of data warehouse architectures?

Types of Data Warehouse Architecture Single-tier architecture, which aims to deduplicate data to minimize the amount of stored data. Three-tier architecture: . Data Warehouse Database. . Extraction, Transformation, and Loading Tools (ETL) . Metadata. . Data Warehouse Access Tools.


What are three architecture of datawarehouse?

Data Warehouses usually have a three-level (tier) architecture that includes: Bottom Tier (Data Warehouse Server) Middle Tier (OLAP Server) Top Tier (Front end Tools).

What are the different types of data warehouse models?

5 Data Warehouse Models: Enterprise Warehouse, Data Mart, and Virtual Warehouse. From the architecture point of view, there are three data warehouse models: the enterprise warehouse, the data mart, and the virtual warehouse.

What is meant by data warehouse architecture?

Data warehouse architecture refers to the design of an organization's data collection and storage framework.

What is the best data warehouse architecture?

Architecture design: Kimball or Inmon Inmon's approach is considered top down; it treats the warehouse as a centralized repository for all of an organization's data. Once there's a centralized data model for that repository, organizations can use dimensional data marts based on that model.

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