“OLAP dicing” By Infopedian – Own work (CC BY-SA 3. “OLAP slicing” By Infopedian – Own work (CC BY-SA 3.0) via Commons Wikimedia 2. “Data Warehousing OLAP.”, Tutorials Point, Available here. “OLAP Cube.” Wikipedia, Wikimedia Foundation, 24 Sept. The main difference between slice and dice in data warehouse is that the slice is an operation that selects one specific dimension from a give data cube and provides a new subcube while the dice is an operation that selects two or more dimensions from a given data cube and provides a new subcube. Slice and dice are two operations that are used in OLAP strategy in data warehouses. Dice is used to select two or more dimensions from a given cube and to provide a new subcube. Slice is used to select one particular dimension from a given cube and to provide a new subcube. UsageĪnother difference between slice and dice in data warehouse is their usage. Thus, this describes the main difference between slice and dice in data warehouse. Get lyrics of Timothy leary slice it dice it song you love. Dice is the act of producing a subcube by allowing the analyst to pick specific values of multiple dimensions. Slice is the act of picking a rectangular subset of a cube by choosing a single value for one of its dimensions, creating a new cube with fewer dimensions. Difference Between Slice and Dice in Data Warehouse Definition Che significa esattamente 'slice and dice' Qualcosa del tipo 'sta tranquillo' o no. The aligned data is easier to visualize and improves productivity.Īccording to the above diagram, the sales figures for a limited number of product categories, time and region dimensions covering the original range are used to form the new cube. Italian Italian-English slice and dice vannaquimis V vannaquimis Senior Member Spain Italy 1 Ciao a tutti, ho estremamente ancora bisogno dei vostri preziosi contributi. Data as a cube with hierarchical dimensions help analyzing. – Comparison of Key Differences Key TermsĪn OLAP cube is a multi-dimensional array of data. What is the Difference Between Slice and Dice in Data Warehouse In this article, we are looking at slice and dice. Roll up is used to aggregate on a data cube drill down is used to reverse the operation of roll up while pivot is used to rotate the data axes in view in order to provide an alternative presentation of data. There are various OLAP operations such as roll up, drill down, slice and dice, and, pivot (rotate). Then, analytics is performed using Online Analytical Processing Server (OLAP), which is based on the multidimensional data model. Firstly, the data from multiple sources is extracted, transformed and loaded into the warehouse. The main difference between slice and dice in data warehouse is that the slice is an operation that selects one specific dimension from a given data cube and provides a new subcube while the dice is an operation that selects two or more dimensions from a given data cube and provides a new subcube.Ī data warehouse is a system used for reporting and data analysis, which support decision making.
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