What is a data warehouse? Data warehouses have become popular in the last decades. These information storing centers were created because there was not yet a technique to perform data analysis and the management of data with an operational system. These systems were not able to reduce data redundancy or perform data integration. They also could not analyze data and were not great at reporting what analyses were found with the information. This was because no system had yet been created to manage such large amounts of data yet. Before the 1980's, data kept in operational systems was typically managed manually as it had been before electronic data. It was possibly kept electronically, but browsing through it and categorizing or analyzing this data had to be performed with humans.

To know what is a data warehouse, it may be important to contrast it with the database. So what is a database? A database is, to the outside viewer, nearly the same as a data warehouse - both are facilities where data is stored. However, there are some key differences. The database is a place where electronic data is kept. This data may be updated and managed using a database management program of some type. The main purpose of a database is that it makes the information it holds organized so that it may be accessed with ease from possibly several different programs, in order that it can be managed with ease, and so that it may be updated. Databases are designed to contain current or relevant information, not older information which is outdated or no longer useful. There are various types of databases also. Some databases are bibliographic, others are full-text, some are numeric, and others hold images, to name a few. These different types of databases are useful for different projects or applications. It is crucial to have a database that is relevant for the project available, but part of what makes a database is the fact that it can typically be accessed in a few different ways by several programs.

What is a data warehouse and how does it differ from a database? Data warehouses are totally different from databases and serve a specific purpose that the database does not. The data warehouse deals with specific subjects, that is often the case with databases as well. Data warehouses, like databases, will work with specific subjects of data regarding the business or other organization for which they store data. A data warehouse, contrary to a database, is integrated. It takes information from many sources across various sections and brings them to the same places. Data warehouses have just one definition for the objects they hold. While in other databases there may be more than one definition, the data warehouse will utilize a tool called name conflict resolution to weed out the incorrect similar items. This will make the data integrated like a data warehouse tutorial.

Possibly the key differences between databases and data warehouses are that data warehouses are usually nonvolatile, time-variant, and can be used for management decision making according to historical data and facts. That the data warehouses are nonvolatile indicates that the information, once it is in the data warehouse, does not change. Many databases change frequently to reflect more current information. Nevertheless, data warehouses do not alter the information. They are time-variant, which indicate that they are nonvolatile. As everything in the data warehouse is classified not just by its type but also its location in time, data warehouse information may be tracked over long durations.

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