BetterDataModel.com

Data Vault Data Modeling
(C) Dan Linstedt, 1990 - 2008

On this site we discuss the business sides of data modeling, how information can be modeled in different formats - the pros and cons of each modeling technique, the limitations of the modeling techniques, and what impacts they have on business.  We discuss things such as ROI, scalability, flexibility, repeatability, consistency, build-out costs, and maintenance.

We've had to replace the Wiki with a blog, too many spammers where using the Wiki to cross-send spam off our web-site.

OUR NEW BLOG IS ON-LINE! 
Check it out here.

If you're interested, we will also be discussing Universal Data Vaults, standard data models in the industry, architectural modeling techniques for everything from GIS/Spatial representations to security, and metadata of data models.  Included in these topics are conceptual/Logical designs versus physical designs.

We bring you this information in the form of a video blog.

The modeling techniques we cover include: (all from a business perspective)

• 3rd normal form
• Data Vault Architecture  (also check: http://www.DanLinstedt.com for Technical discussions)
• Star Schema
• UML

Conceptual Ideas:

• Agile Modeling Concepts
• Universal Data Models (Ideas from Len Silverston)
• Universal Data Vaults (Ideas from Dan Linstedt)
• GIS / Spatial Data
• Conceptual, Logical, and Physical
• Security, and encryption
• Metadata, Separation, Integration, Abstraction
• DW2.0 - Modeling for the future (Ideas from Bill Inmon)
• Incorporation of Unstructured Data (Ideas from Bill Inmon)
• Master Data Modeling (Ideas from Lowell Fryman and Dan Linstedt)
• Metadata Management (Ideas from Lowell Fryman)
• Common Data Models (OSS and DSS Issues)
• Supporting Very Large Models
• Operational Data Warehousing Models

Differences in Application of Data Models to:

• ODS
• Operational Systems
• Staging Areas
• Enterprise Data Warehouses / Data Vaults
• Active or Operational Data Warehouses
• Star Schemas
• Exploration Warehouses and Exploration Marts
• Master Data Models
• Report Collections and Delivery

Read, Learn, INTERACT!