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Dimensional modeling

Dimensional modeling is part of the Business Dimensional Lifecycle methodology developed by Ralph Kimball which includes a set of methods, techniques and concepts for use in data warehouse design.: 1258–1260 The approach focuses on identifying the key business processes within a business and modelling and implementing these first before adding additional…

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Dimensional models, Hadoop, and big data

Hadoop File SystemBig dataImmutableSlowly Changing DimensionsView
7 related topics

Design method

Star-like schemaSnowflake schemaBusiness Process Model and NotationUnified Modeling LanguageBitmap indexes
6 related topics

Description

Business process areasConformed dimensions
2 related topics

Benefits of dimensional modeling

Query optimization
1 related topics

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Overview

Description

Design method

Benefits of dimensional modeling

Dimensional models, Hadoop, and big data

Literature

  • ISBN ISBN (identifier)

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Dimensional modeling

Nodes31
Edges30
Triples36
Avg. degree1.94
Density0.064516
Components1

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Dimensional modeling

Top relations

related to Literature · 20
Dimensional modeling → Archived, DBMS, Design Tips, Dimensional Modeling Manifesto, Identifying Business Processes, Internet Systems, ISBN, June, Kimball, Kimball Group, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, Margy Ross, Ralph, Ralph Kimball, The Data Warehouse Toolkit, The Definitive Guide, Wikisource-logo, Wiley
related to Description · 6
Dimensional modeling → Because, Dimensional, Facts, For, It, The
part of · 1
Dimensional modeling → the Business Dimensional Lifecycle methodology developed by Ralph Kimball which includes a set of methods

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Important terminology

data dimensional dimensions business model modeling design process table dimension fact tables models hadoop grain step across warehouse store kimball

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SubjectPredicateObjectConfidenceSrc
Dimensional modelingpart ofthe Business Dimensional Lifecycle methodology developed by Ralph Kimball which includes a set of methods0.85text
entity-relationship modelinginstance ofAn alternative approach from Inmon advocates a top down design of the model of all the enterprise data using tools0.80text
yearinstance ofthe date dimension could contain data0.80text
monthinstance ofthe date dimension could contain data0.80text
weekday.Identify the factsAfter defining the dimensionsinstance ofthe date dimension could contain data0.80text
the next step in the process is to make keys for the fact tableinstance ofthe date dimension could contain data0.80text
quantity or cost per unitinstance ofadditive figures0.80text
etc.Dimension normalizationDimensional normalization or snowflaking removes redundant attributesinstance ofadditive figures0.80text
which are known in the normal flatten de-normalized dimensionsinstance ofadditive figures0.80text
etcinstance ofadditive figures0.80text
Dimensional modelingrelated to DescriptionDimensional0.60section
Dimensional modelingrelated to DescriptionFacts0.60section

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