What is the difference between data warehouse?

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.

What is difference between data warehouse and big data?

Data warehouse is the collection of historical data from different operations in an enterprise. 2. Big data is a technology to store and manage large amount of data. Data warehouse is an architecture used to organize the data.

What are the difference between various types of data warehousing?

Three main types of Data warehouses are Enterprise Data Warehouse (EDW), Operational Data Store, and Data Mart. General state of a datawarehouse are Offline Operational Database, Offline Data Warehouse, Real time Data Warehouse and Integrated Data Warehouse.

What is database warehouse?

What is a Data Warehouse? A data warehouse is a relational database that is designed for query and analysis rather than for transaction processing. It usually contains historical data derived from transaction data, but it can include data from other sources.