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Data Model Made Easy | All your doubts about Data modelling clarified.
Data Model Made Easy. All your doubts about Data modelling clarified. The ill effects of denormalization – Use of Super dimension. January 28, 2011. The ill effects of denormalization. Here is an example of ill effects of denormalization. You have a product line with the following columns in a dimension. Middot; Product line. And the Fact table contains columns with below structure. Middot; Product Line. Middot; M Qty. Middot; M Revenue. Middot; M Profit. Middot; Product line. The Fact Table contain.
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datamodelcommons.org - Registered at Namecheap.com
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Christopher Sindoni
403 Main Street, #807. San Francisco, CA 94105. A consulting position as a Senior Data Architect or Data Modeler in the San Francisco bay area. I am mostly interested in organizations where data plays a strategic role in the success of the organization. Inventor/Author of issued and pending patents on business processes for the application of metadata in transaction processing systems. Expert Enterprise Data Modeler with a deep understanding of developing enterprise data warehouses using Kimball and Inmon.
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DMS Consulting | Consulting on Data, Management & Systems
Consulting on Data, Management and Systems. HOUG Technical Day 2015. The Hungarian Oracle Users Group (HOUG) will hold its usual Technical Day on 7th of October 2015. During the event DMS Consulting’s colleagues will have two presentations. Mr. Gabor Gollnhofer will do a short introduction to “ Data Governance and Metadata Management. The detailed program of the HOUG Technical Day is available from HOUG site. For attending the event a preliminary registration is required. This entry was posted in Events.
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Datamodeling society – Datamodeling society web site
December 7, 2015. Designed By DataModeling society.
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Data Modeling Data Warehousing Data Quality Oracle Database Erwin BI FAQ
Data Modeling Data Warehousing Data Quality Oracle Database Erwin BI FAQ. Monday, 30 May 2011. MDM : What is Master Data? 1)Master data is data shared across computer systems in the enterprise. 2)Master data is the dimension or hierarchy data in data warehouses and transactional systems. 3)Master data is core business objects shared by applications across an enterprise. 4)Slowly changing Reference data shared across systems. 5)Master data is data worth managing. Links to this post. Sunday, 29 May 2011.
