DWH Wiki

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====== Data Warehousing (DWH) Wiki ======
{{ :database:batch_process_128.png|Data Warehousing Wiki}}
This Wiki offers articles on [[data_warehouse|data warehousing]] and relevant strategies. We are open for new authors and offer some [[contribute|incentives]]. 

===== Basic Concepts =====
[[concepts|{{:mobile:tools_128.png |DWH concepts}}]]
This section is focusing on the basic concepts of data warehousing, including:

  * [[concepts:balanced_scorecard|]]
  * [[concepts:asap]]
  * [[concepts:cube]]
  * [[concepts:snow_flake]]
  * [[concepts:star_schema]] 

===== DWH Design =====
[[design|{{:construction:design_team_128.png |DWH Design}}]]

More technical-savvy users will find useful information in this category.

  * [[design:data-vault:fact_table]]
  * [[design:data-vault:star_schema]]
===== DWH Processes =====

| [[metadata|{{ :database:atom_48.png |Metadata Management}}]] [[metadata|Metadata]] | [[etl|{{ :accounting:flow_diagram_48.png |Extract, Transform, Load (ETL)}}]] [[etl|ETL]] | [[reporting|{{ :business:report_48.png |Reporting}}]] [[reporting|Reporting]] | [[charting|{{ :business:pie_chart_48.png |Charting}}]] [[charting|Charting]] | [[analysis|{{ :3dgraphics:pivot_point_48.png |Data Analysis}}]] [[analysis|Analysis]] | 

===== Best Practices =====
[[best_practices|{{:jobs:actor_128.png |Best Practices}}]]

The following approaches are used by DWH professionals when building a data warehouse:

  * [[best_practices:bottom_up]]
  * [[best_practices:data_marts]]

===== Case Studies =====
[[case_studies|{{:education:history_128.png |Case Studies}}]]

Help us to expand this section and submit your case study on data warehousing!
===== Templates ===== 

[[templates|{{:development:template_128.png |Templates}}]] Check out our [[:templates|DWH process templates]].

  * [[templates:specification]]
  * [[templates:design]]
=== Glossary ===

Was lustiges von **Markus**: 
[[glossary|{{:communications:address_book_128.png |Glossary}}]]
Looking for more specific explainations? Check out our [[:glossary|glossary where we explain all terms around data warehousing]].
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