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- Dimension_table abstract "In data warehousing, a dimension table is one of the set of companion tables to a fact table.The fact table contains business facts (or measures), and foreign keys which refer to candidate keys (normally primary keys) in the dimension tables.Contrary to fact tables, dimension tables contain descriptive attributes (or fields) that are typically textual fields (or discrete numbers that behave like text). These attributes are designed to serve two critical purposes: query constraining and/or filtering, and query result set labeling.Dimension attributes should be: Verbose (labels consisting of full words) Descriptive Complete (having no missing values) Discretely valued (having only one value per dimension table row) Quality assured (having no misspellings or impossible values)Dimension table rows are uniquely identified by a single key field. It is recommended that the key field be a simple integer because a key value is meaningless, used only for joining fields between the fact and dimension tables. Dimension tables often use primary keys that are also surrogate keys. Surrogate keys are often auto-generated (e.g. a Sybase or SQL Server \"identity column\", a PostgreSQL or Informix serial, an Oracle SEQUENCE or a column defined with AUTO_INCREMENT in MySQL).The use of surrogate dimension keys brings several advantages, including: Performance. Join processing is made much more efficient by using a single field (the surrogate key) Buffering from operational key management practices. This prevents situations where removed data rows might reappear when their natural keys get reused or reassigned after a long period of dormancy Mapping to integrate disparate sources Handling unknown or not-applicable connections Tracking changes in dimension attribute valuesAlthough surrogate key use places a burden put on the ETL system, pipeline processing can be improved, and ETL tools have built-in improved surrogate key processing.The goal of a dimension table is to create standardized, conformed dimensions that can be shared across the enterprise's data warehouse environment, and enable joining to multiple fact tables representing various business processes.Conformed dimensions are important to the enterprise nature of DW/BI systems because they promote: Consistency. Every fact table is filtered consistently, so that query answers are labeled consistently. Integration. Queries can drill into different process fact tables separately for each individual fact table, then join the results on common dimension attributes. Reduced development time to market. The common dimensions are available without recreating them.Over time, the attributes of a given row in a dimension table may change. For example, the shipping address for a company may change. Kimball refers to this phenomenon as Slowly Changing Dimensions. Strategies for dealing with this kind of change are divided into three categories: Type One. Simply overwrite the old value(s). Type Two. Add a new row containing the new value(s), and distinguish between the rows using Tuple-versioning techniques. Type Three. Add a new attribute to the existing row.".
- Dimension_table wikiPageID "1404724".
- Dimension_table wikiPageLength "3988".
- Dimension_table wikiPageOutDegree "18".
- Dimension_table wikiPageRevisionID "685934306".
- Dimension_table wikiPageWikiLink Business_fact.
- Dimension_table wikiPageWikiLink Candidate_key.
- Dimension_table wikiPageWikiLink Category:Data_warehousing.
- Dimension_table wikiPageWikiLink Data_warehouse.
- Dimension_table wikiPageWikiLink Dimension_(data_warehouse).
- Dimension_table wikiPageWikiLink Extract,_transform,_load.
- Dimension_table wikiPageWikiLink Fact_table.
- Dimension_table wikiPageWikiLink Foreign_key.
- Dimension_table wikiPageWikiLink Ralph_Kimball.
- Dimension_table wikiPageWikiLink Slowly_changing_dimension.
- Dimension_table wikiPageWikiLink Surrogate_key.
- Dimension_table wikiPageWikiLink Tuple-versioning.
- Dimension_table wikiPageWikiLink Unique_key.
- Dimension_table wikiPageWikiLinkText "Dimension table".
- Dimension_table wikiPageWikiLinkText "dimension table".
- Dimension_table wikiPageUsesTemplate Template:Data_warehouse.
- Dimension_table wikiPageUsesTemplate Template:Merge.
- Dimension_table subject Category:Data_warehousing.
- Dimension_table hypernym Set.
- Dimension_table comment "In data warehousing, a dimension table is one of the set of companion tables to a fact table.The fact table contains business facts (or measures), and foreign keys which refer to candidate keys (normally primary keys) in the dimension tables.Contrary to fact tables, dimension tables contain descriptive attributes (or fields) that are typically textual fields (or discrete numbers that behave like text).".
- Dimension_table label "Dimension table".
- Dimension_table sameAs Q17088352.
- Dimension_table sameAs Tabela_wymiarów.
- Dimension_table sameAs m.04zx7l.
- Dimension_table sameAs Таблица_измерений.
- Dimension_table sameAs Q17088352.
- Dimension_table wasDerivedFrom Dimension_table?oldid=685934306.
- Dimension_table isPrimaryTopicOf Dimension_table.