What is slicing and dicing in data warehousing?

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. … In data analysis, the term generally implies a systematic reduction of a body of data into smaller parts or views that will yield more information.

What is slicing in data warehousing?

A slice in a multidimensional array is a column of data corresponding to a single value for one or more members of the dimension. It helps the user to visualize and gather the information specific to a dimension. When you think of slicing, think of it as a specialized filter for a particular value in a dimension.

What is the difference between slicing and dicing?

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 a zoom feature that selects a subset over all the dimensions but for specific values of the dimension.

What is slicing of data?

Slicing and Dicing refers to a way of segmenting, viewing and comprehending data in a database. Large blocks of data is cut into smaller segments and the process is repeated until the correct level of detail is achieved for proper analysis.

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What is a slice and dice?

chiefly US. : to divide something into many small parts especially to use the result for one’s own purposes You can slice and dice the data any way you want.

What is OLAP example?

In OLAP, the emphasis is on response time to these complex queries. Each query involves one or more columns of data aggregated from many rows. Examples include year-over-year financial performance or marketing lead generation trends.

What are the types of OLAP?

There are 3 main types of OLAP servers are as following:

  • Relational OLAP (ROLAP) – Star Schema based – …
  • Multidimensional OLAP (MOLAP) – Cube based – …
  • Hybrid OLAP (HOLAP) –

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.

What’s the difference between sliced and chopped?

So, here is what each of those terms means: – Chopped: this is to cut your vegetables into large squares. … For slices, just cut vertically down on your vegetable (or whatever else) and you are all set. Typically, you can slice these as thick or thin as you want, but recipes will usually recommend a thin or thick slice.

What is pivot in OLAP?

What Does Pivot Mean? Broadly, this term refers to a new view of data available within a Slice of a multidimensional OLAP Cube. As an example: a financial analyst might want to view or “pivot” data in various ways, such as displaying all the cities down the page and all the products across a page.

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What is dicing in Excel?

Dicing the data refers to selecting which attributes we’re grouping the data by. For instance, if we have a PivotTable showing Internet Sales for 2006 and 2007 by Country and by State, then we have sliced the data by year and diced it by geography.

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.

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