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Main Differences Between Databases And Data Warehouses
What is a data warehouse? Data warehouses have grown in popularity in the past decades. These information storing centers were developed 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 minimize data redundancy or perform data integration. They also could not analyze data and were not effective at reporting what analyses were found with the information. This was because no system had yet been created to deal with such massive amounts of data yet. Prior to 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 sifting 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 observer, virtually the same as a data warehouse - both are places where data is stored. However, there are some key differences. The database is a place where electronic data is kept. This data can be updated and managed using a database management program of some type. The key purpose of a database is that it makes the information it holds organized so that it can be accessed easily from possibly several different programs, so that it can be managed with ease, and so that it may be updated. Databases are designed to store current or relevant information, not older information that is outdated or no longer useful.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 kinds of databases are helpful for different projects or applications. It is important to have a database that is relevant for the project available, but part of what makes a database is the fact that it can generally be accessed in a few different ways by a few different programs.
What is a data warehouse and how does it differ from a database? Data warehouses are totally different from databases and serve a special purpose that the database does not. The data warehouse deals with specific subjects, which is often the case with databases also. Data warehouses, like databases, will deal with specific subjects of data regarding the business or other organization for which they store data. A data warehouse, unlike 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 use a tool called name conflict resolution to remove the incorrect similar items. This makes the data integrated like a data warehouse tutorial.
Possibly the main differences between databases and data warehouses are that data warehouses are nonvolatile, time-variant, and can be used for management decision making based upon historical data and facts. That the data warehouses are nonvolatile denotes that the information, once it is in the data warehouse, does not change. Many databases change often to reflect more recent information. However, data warehouses do not alter the information. They are time-variant, which indicate that they are nonvolatile. Because 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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