What is the difference between slicing and dicing in OLAP?

Slicing refers to selecting a subset of the cube by choosing a single value for one of its dimension and creating a smaller cube with one less dimension. … Dicing on the other hand generates a subcube by picking two or more values from multiple dimensions of the cube.

What’s the difference between slicing and dicing?

To slice and dice is to break a body of information down into smaller parts or to examine it from different viewpoints so that you can understand it better. … To slice means to cut and to dice means to cut into very small uniform sections and the two actions are often performed sequentially.

What is OLAP slice?

A Slice represents two-dimensional view of an OLAP Cube that arranges data in a grid, similar to a spreadsheet; a Slice functions much like a report or a query in an RDBMS in that it returns data based on a request for what to see.

How slice operation is different from dice operation in OLAP?

The slice operation performs a selection on one dimension of the given cube, resulting in a subcube. Reduces the dimensionality of the cubes. The dice operation defines a sub-cube by performing a selection on two or more dimensions.

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What does the word dicing mean?

Dicing is a culinary knife cut in which the food item is cut into small blocks or dice. This may be done for aesthetic reasons or to create uniformly sized pieces to ensure even cooking.

What are the OLAP tools?

OLAP tools enable users to analyze multidimensional data interactively from multiple perspectives. OLAP consists of three basic analytical operations: consolidation (roll-up), drill-down, and slicing and dicing.

Which in OLAP is ideal for 2d data?

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. … This is ideal for two-dimensional data.

What is OLAP in SQL?

Online analytical processing (OLAP) is a technology that organizes large business databases and supports complex analysis. It can be used to perform complex analytical queries without negatively affecting transactional systems.

What is slice and dice in SAP BO?

Slice and dice refers to a strategy for segmenting, viewing and understanding data in a database. Users slices and dice by cutting a large segment of data into smaller parts, and repeating this process until arriving at the right level of detail for analysis.

How is OLAP implemented?

Step one: dimensional modeling. Step two: select the data required for removing into OLAP system. Step three: data extraction for the OLAP system. Step four: loading data to the OLAP server.

How does slicing and dicing helps in OLAP?

Dicing is similar to slicing, but it works a little bit differently. When one thinks of slicing, filtering is done to focus on a particular attribute. Dicing, on the other hand, is more of a zoom feature that selects a subset over all the dimensions, but for specific values of the dimension.

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