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What’s a multi-D database?

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A multidimensional database is optimized for OLAP and data warehouse applications, and can receive data from various relational databases. Users can ask questions in everyday language, making it easy to obtain data quickly. However, the exact formulation of the question depends on the type and ordering of data in the database.

A multidimensional database is a form of database that is structured to optimize online analytical processing (OLAP) and data warehouse applications. It can receive data from a variety of relational databases and structure the information into categories and sections that can be accessed in a variety of ways. Even people who have relatively little experience working with a database often find that a multidimensional database, or MDB, takes only a short time to master.

While almost all relational databases are structured for keyword searches and building a query by specifying fields and perimeters, the multidimensional database goes one step further. Rather than building a query, a user simply asks the question in everyday verbiage. This approach is used with several online help tools associated with software programs such as word processing and spreadsheet applications, as well as many of the most popular search engines in use today.

When it comes to using a multidimensional database for internal business purposes, the main advantage is the ease of getting data quickly and concisely. For example, if an end user wanted to determine how many widget sales were generated during the third quarter of the past year in a particular sales territory, this data could be obtained from a multidimensional database with a simple query. Asking “How were widgets sold during Q3 2007 within the South West Territory?” the end user does not have to go through the steps of creating a report, specifying fields, and restricting the content within those fields to selected criteria. Using a simple question will get the job done.

The exact means of formulating a question will depend on several factors. A key element is the ordering and type of data within a multidimensional database. Any question that contains a request for information that is not within the database will not result in a direct answer, although many MDBs will respond with data based on what data is available. This means that if an end user asks “How many widgets were sold in Virginia last month?” the database will only be able to provide a targeted response if each sale includes source status and the database has been configured to understand which month and year means “last month”. If not, the multidimensional database will probably respond with some partial answers or ask for clarification.

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