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Note: This is the fourth in a series of five “lessons” which I created for SQL University on the topics of Dimensional Modeling and Data Warehousing. Click here to read the rest of the series. So, we’ve covered dimension tables and how they give your data meaning. That begs the question, how do we actually [...] Note: This is the third in a series of five “lessons” which I created for SQL University on the topics of Dimensional Modeling and Data Warehousing. Click here to read the rest of the series. You unlock this door with the key of imagination. Beyond it is another dimension – a dimension of sound, a [...] Note: This is the second in a series of five “lessons” which I created for SQL University on the topics of Dimensional Modeling and Data Warehousing. Click here to read the rest of the series. Creating a data warehouse is a daunting process. It’s not something you just whip out in a weekend. So, let’s [...] This is the first in a series of five “lessons” which I created for SQL University on the topics of Dimensional Modeling and Data Warehousing. The rest of the lessons are as follows: If We Build It, Will They Come? Discusses the most important aspect of a data warehouse, business user input. I mentioned in the last article that I am taking a temporary break from the T-SQL Basics Series of articles. I’ll return to it in a few weeks, but in the meantime I’ve been working other stuff for your amusement. Next week Wednesday, I’ll be presenting at the Fort Worth SQL Server User Group. Come [...] This year I made a concerted effort to get involved in the community in a big way and that has benefited me in several ways. I’ve made tons of new friends and found great people who are willing to share their knowledge with me and others. To recognize others for what they do in the [...]
Presenting M-Data Analytics at Consona Connect 2010 What is M-Data Analytics and how is it going to change the way you use data? M-Data Analytics is a Data Warehouse. A Data Warehouse is a database that is specially designed for reporting and data analysis. M2M Data is extracted, checked, cleaned, and transformed to a format which [...] |
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