What is Data Warehouse? Types with Examples




First, we need to basic knowledge on Database then will go with Data Warehouse and different types of Data Warehouse system.

What is Data Base?

Database is a collection of related data and data is a collection of characteristics and figures that can be processed to produce information. Mostly data represents recordable facts. The data aids in producing information, which is based on facts. If we have data about salary obtained by all students, we can then conclude about the highest salary, etc.

What is a Data Warehouse?

Data Warehouse is also an enterprise data warehouse, it is a subject – oriented, integrated, time -variant and non – violent collection of Data management’s decision making.

Data is populated into the Data Warehouse through the processes of extraction, transformation, and loading (ETL). It contributes to future decision making. For example, data will take from different sources is extracted into a single area and transformed according to the data then loaded into storage systems.



Subject Oriented: A data warehouse used to analyze a particular subject area.

Integrated Oriented: A data warehouse integrates data from multiple data sources.

Time-Variant: Historical data is kept in a data warehouse.

Non – Violate: Once data is in the data warehouse, it will not change.

Types of Data Warehouse?

The data warehouse system is majorly three types:

1.Information Processing: A data warehouse allows to process the data stored in it. The data can be processed by means of querying, basic statistical analysis and reporting using charts or graphs

2.Analytical Processing: A data warehouse supports the analytical processing of the information stored in it. Basically, it is OLAP operations including drill – up and drill -down and pivoting.

3.Data Mining: In Data warehouse system Data Mining supports knowledge discovery by finding hidden patterns and associations, constructing analytical models. These results using the visualization tools.