Date archive for February, 2009
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Datamartist Public Beta Released
nModal Solutions Inc. is very proud to announce the public beta release of the Datamartist tool. It is currently available for download here. I’d very much like to thank all those who have signed up at datamartist.com over the past months to formally take part in the Beta- and thank you in advance for everyone’s […]
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Spreadmarts and Data Shadow Systems- The Debate
When business users are not getting what they want out of the enterprise business intelligence system they very rarely just give up. Successful business people didn’t get where they are by giving up when someone doesn’t deliver something, they take things into their own hands and get it done. Knowing this, it’s not surprising that […]
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Joining the Dimension Table to the Fact Table- Purchasing Data mart (Part 5)
After we have created the dimension tables and the fact table and populated them with data the final step to getting a star schema is of course to actually join the dimension tables to the fact table. In the datamartist tool we do this with a Join block. Check out the first four parts of […]
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Hierarchies and Tree Structures in Dimensions- an Example Item Dimension (Part 4)
Having a way to create and manage tree structures (Hierarchies) with your dimension and fact tables is a key part of making a dimensional model in any data warehouse or data mart. Hierarchical structures lend themselves to managing a very large number of categories and we use them to create drill down paths. Check out […]
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Connecting the dimension table to the fact table- Vendor Example (Part 3)
In parts one and two of this series we introduced our challenge (to make a data mart to analyze the Acme Company’s spending) and showed how the Datamartist tool could import millions of rows of data and then turn it into a fact table we can use in Excel. Now we need to create a […]
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Creating a Fact Table with the Vendor dimension Purchasing DM (Part 2)
In creating a data warehouse or data mart data model there are two key types of tables- fact tables and dimension tables. Fact tables hold the data to be analyzed, dimensional tables provide categories and analysis values that organize the data. So we have our mission from Part 1: to analyze the “Acme does everything” […]
