How many types of data warehouse are there?
- What is data warehouse and its types?
- What are the 3 data warehouse architectures?
- What are the 3 characteristics of data warehouse?
- What are the different types of data warehouse architecture?
What is data warehouse and its types?
A Data Warehouse is defined as a central repository where information is coming from one or more data sources. Three main types of Data warehouses are Enterprise Data Warehouse (EDW), Operational Data Store, and Data Mart.
What are the 3 data warehouse architectures?
Three-tier architecture: The bottom tier, the database of the data warehouse servers. The middle tier, an online analytical processing (OLAP) server providing an abstracted view of the database for the end-user. The top tier, a front-end client layer consisting of the tools and APis used to extract data.
What are the 3 characteristics of data warehouse?
The Key Characteristics of a Data Warehouse Large amounts of historical data are used. Queries often retrieve large amounts of data. Both planned and ad hoc queries are common.
What are the different types of data warehouse architecture?
In a traditional architecture there are three common data warehouse models: virtual warehouse, data mart, and enterprise data warehouse: A virtual data warehouse is a set of separate databases, which can be queried together, so a user can effectively access all the data as if it was stored in one data warehouse.
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