What are the difference between various types of data warehousing?

What are different types of data warehousing?

The three main types of data warehouses are enterprise data warehouse (EDW), operational data store (ODS), and data mart.

What are different types of data warehouse also explain various applications of DWH?

Data Warehouse (DWH), is also known as an Enterprise Data Warehouse (EDW). 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 is the difference between data warehouse?

What are the differences between a database and a data warehouse? A database is any collection of data organized for storage, accessibility, and retrieval. A data warehouse is a type of database the integrates copies of transaction data from disparate source systems and provisions them for analytical use.

What is the difference between data warehouse and data warehousing?

A data warehouse is built to support management functions whereas data mining is used to extract useful information and patterns from data. Data warehousing is the process of compiling information into a data warehouse.