Multi-Dimensional OLAP (MOLAP) is a type of online analytical processing technology that is used to store and analyze various data sources. MOLAP enables users to quickly access data and quickly analyze complex data in multiple dimensions. Unlike other types of online analytical processing, MOLAP does not require the data to be stored in a separate relational database system. Instead, MOLAP stores the data in a multidimensional array, or cube, and provides access to the data in a fast and efficient manner.
As its name suggests, MOLAP is a multi-dimensional approach to data analysis. With MOLAP, a user can track data changes over multiple dimensions, such as product, region, time, and customer profile. This type of analysis allows users to gain a more comprehensive view of a particular situation. For example, a user may want to look at the sales of a particular product in a particular region over a certain period of time. With a MOLAP system, the user can easily monitor the sales of the product within that region over time.
MOLAP is often used in data warehousing applications. Data warehousing is a method of storing large amounts of data and making this data available to users for analysis. MOLAP is often used to access data from warehouses, as the multidimensional approach is highly effective in this type of environment.
MOLAP systems also make it possible to integrate several different data sources into a single view. This kind of analysis is referred to as “slicing and dicing”. It allows the user to take a snapshot of a particular situation or group of data and look at the situation from different points of view. This can be useful when trying to identify patterns or trends in data.
Overall, Multi-Dimensional OLAP (MOLAP) is an efficient way to access and analyze large amounts of data from multiple data sources. It provides users with a comprehensive overview of a particular situation and allows them to gain valuable insight into its current and future state. It is a powerful and effective tool for data mining and data warehousing applications.
