OLAP cube

Web based application for viewing OLAP cubes and data explorations.

An OLAP cube is an array of data understood in terms of its 0 or more dimensions.

This terminology is shared with OLAP cubes.

The basic graphical view generated by the compiler is reminiscent of an OLAP cube.

In an accounting intelligence, there is no staggering of data in a data warehouse or OLAP cube.

Data source connections, such as OLAP cubes or relational tables, are also made through Monitoring Server.

Universes enable business users to access and analyze data stored in a relational database and OLAP cubes.

Panopticon's technology relies on in-memory OLAP cubes, which are displayed through a series of visualizations including treemaps.

LINQ - for querying OLAP cubes from .

OLAP cube - set of data, organized in a way that facilitates non-predetermined queries for aggregated information, or in other words, online analytical processing.

Its streaming OLAP implementation takes an in-memory OLAP cube and allows data to be streamed through it.

In database theory, an OLAP cube is an abstract representation of a projection of an RDBMS relation.

When creating a data warehouse, a business analyst looks at the Representation Terms to quickly find the dimensions and measures of a subject matter in order to build OLAP cubes.

The core of any OLAP system is an OLAP cube (also called a 'multidimensional cube' or a hypercube).

Data in IBM Cognos TM1 is stored and represented as multidimensional OLAP cubes, with data being stored at the "leaf" level.

Moreover, partitioning, indexing, caching, views, OLAP cubes, and transactional systems such as write ahead logging or multiversion concurrency control all dramatically affect the physical organization of either system.

The MultiDimensional eXpressions (MDX) language provides a specialized syntax for querying and manipulating the multidimensional data stored in OLAP cubes.

Slicing and dicing is a feature whereby users can take out (slicing) a specific set of data of the OLAP cube and view (dicing) the slices from different viewpoints.

It has been claimed that for complex queries OLAP cubes can produce an answer in around 0.1% of the time required for the same query on OLTP relational data.

SSAS Entity Framework Provider: LINQ to OLAP cubes in SSAS.

The usual interface to manipulate an OLAP cube is a matrix interface like Pivot tables in a spreadsheet program, which performs projection operations along the dimensions, such as aggregation or averaging.

The output objects of a successful run of CubePort are: A relational Star schema and/or relational Snowflake schema, OLAP cube, Etl load packages, MDX (Multidimensional Expressions) files, and others.

It is based on the Microsoft Visual Studio development environment but customized with the SQL Server services-specific extensions and project types, including tools, controls and projects for reports, ETL dataflows, OLAP cubes and data mining structure.

Similarly, the ER model was found unsuitable for multidimensional databases (used in OLAP applications); no dominant conceptual model has emerged in this field yet, although they generally revolve around the concept of OLAP cube (also known as data cube within the field).