What are the different olap operations on multidimensional data?
Answers
there are Pivot groups data with different dimensions. The below cubes shows 2D represntation of Pivot. Some more OLAP operations include: SCOPING: Restricting the view of database objects to a specified subset is called scoping.
hope it helps!!!!
Online Analytical Processing (OLAP) is a category of software that allows users to analyze information from multiple database systems at the same time. It is a technology that enables analysts to extract and view business data from different points of view.
Analysts frequently need to group, aggregate and join data. These operations in relational databases are resource intensive. With OLAP data can be pre-calculated and pre-aggregated, making analysis faster.
OLAP databases are divided into one or more cubes. The cubes are designed in such a way that creating and viewing reports become easy. OLAP stands for Online Analytical Processing.
At the core of the OLAP concept, is an OLAP Cube. The OLAP cube is a data structure optimized for very quick data analysis.
The OLAP Cube consists of numeric facts called measures which are categorized by dimensions. OLAP Cube is also called the hypercube.
Usually, data operations and analysis are performed using the simple spreadsheet, where data values are arranged in row and column format. This is ideal for two-dimensional data. However, OLAP contains multidimensional data, with data usually obtained from a different and unrelated source. Using a spreadsheet is not an optimal option. The cube can store and analyze multidimensional data in a logical
A Data warehouse would extract information from multiple data sources and formats like text files, excel sheet, multimedia files, etc.
The extracted data is cleaned and transformed. Data is loaded into an OLAP server (or OLAP cube) where information is pre-calculated in advance for further analysed
Reducing dimensions
Climbing up concept hierarchy. Concept hierarchy is a system of grouping things based on their order or level.
Type of OLAP Explanation
Relational OLAP(ROLAP): ROLAP is an extended RDBMS along with multidimensional data mapping to perform the standard relational operation.
Multidimensional OLAP (MOLAP) MOLAP Implementes operation in multidimensional data.
Hybrid OnlineAnalytical ProcessP approach the aggregated totals are stored in a multidimensional database while the detailed data is stored in the relational database. This offers bo OLAP, a user downloads a part of the data e database locally, or on their desktop and analyze it.
DOLAP is relatively cheaper to deploy as it offers very few functionalities compares to other OLAP systems.
Web OLAP (WOLAP) Web OLAP which is OLAP system accessible via the web browser. WOLAP is a three-tiered architecture. It consists of three components: client, middlhelps users to access and analyzesing their mobile devices