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All Blog Posts Tagged 'Cube' (4)

SPARQL is the new King of all Data Scientist’s tools

Inspired by the development of semantic technologies in recent years, in statistical analysis field the traditional methodology of designing, publishing and consuming statistical datasets is evolving to so-called “Linked Statistical Data” by associating semantics with dimensions, attributes and observation values based on Linked Data design principles.

The representation of datasets is no longer a combination of magic words and numbers. Everything is becoming…

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Added by Andreas Blumauer on September 9, 2015 at 11:23pm — No Comments

Introducing the Linked Data Business Cube

Tassilo Pellegrini from Semantic Web Company has published a new report which outlines business models for Linked Data including a case study of the publishing house and information service provider Wolters Kluwer:

"With the increasing availability of semantic data on…

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Added by Andreas Blumauer on December 1, 2014 at 11:30pm — No Comments

Modelling a Data Warehouse

When designing a model for a data warehouse we should follow standard pattern, such as gathering requirements, building credentials and collecting a considerable quantity of information about the data or metadata. This helps to figure out the formation and scope of the data warehouse. This model of data warehouse is known as conceptual model. General elements for the model are fact and dimension tables. These tables will be related to each other which will help to identity relationships…

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Added by Avesh Dhakal on June 8, 2014 at 7:54am — 1 Comment

Dimensional Modelling

There isn’t any specific standard to model data warehouse. It can be built either using the “dimensional” model or the “normalised” model methodologies. Normalised model normalises the data into third normal form (3NF) whereas dimensional model collects the transactional data in the form of facts and dimensions. Normalised model is easy to use as we can add related topics without affecting the existing data. But one must have good knowledge of how data is associated before performing…

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Added by Avesh Dhakal on May 29, 2014 at 4:12am — No Comments

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