Posted March 30, 2010 3:05 PM
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Bill Inmon has given me this wonderful opportunity to blog on his behalf. I like to cover everything from DW2.0 to integration to data modeling, including ETL/ELT, SOA, Master Data Management, Unstructured Data, DW and BI. Currently I am working on ways to create dynamic data warehouses, push-button architectures, and automated generation of common data models. You can find me at Denver University where I participate on an academic advisory board for Masters Students in I.T. I can't wait to hear from you in the comments of my blog entries. Thank-you, and all the best; Dan Linstedt http://www.COBICC.com, danL@danLinstedt.com
Cofounder of Genesee Academy, RapidACE, and BetterDataModel.com, Daniel Linstedt is an internationally known expert in data warehousing, business intelligence, analytics, very large data warehousing (VLDW), OLTP and performance and tuning. He has been the lead technical architect on enterprise-wide data warehouse projects and refinements for many Fortune 500 companies. Linstedt is an instructor of The Data Warehousing Institute and a featured speaker at industry events. He is a Certified DW2.0 Architect. He has worked with companies including: IBM, Informatica, Ipedo, X-Aware, Netezza, Microsoft, Oracle, Silver Creek Systems, and Teradata. He is trained in SEI / CMMi Level 5, and is the inventor of The Matrix Methodology, and the Data Vault Data modeling architecture. He has built expert training courses, and trained hundreds of industry professionals, and is the voice of Bill Inmons' Blog on http://www.b-eye-network.com/blogs/linstedt/.
I've just reviewed some technology from a vendor who manages business and technical metadata as a service platform. Let me say: I'm impressed. There are many current issues these days with different BI and EDW implementations, specifically around managing, entering, and governing the business and technical metadata. For years I've found myself using Excel and Word to handle these tasks; while great tools - there are some problems for the Data Steward in the form of governance, management, and usefulness of metadata. In this entry, I'll discuss a new solution from IData called the Data Cookbook.
Sorry folks, this one is a shameless plug (but I am trying to separate concepts and ideas).
I've decided to give my personal web-site a new face-lift. and in doing so, have begun posting all-things Data Vault modeling and Methodology related there. So if you're interested in reading new posts about the Data Vault, please see: http://www.DanLinstedt.com
I will reserve this blog for posting about Cloud Computing, MPP architectures in general, scalability, performance & tuning, vendors, database engines, data warehousing architecture, compliance, etc.. that I see making a difference in the BI / EDW world.
If you have an idea, or want to see me post about a specific subject, please reply with your comments here.
Welcome to the next installment of Data Vault Modeling and Methodology. In this entry I will attempt to address the comment I received on the last entry surrounding Data Vault and Master Data. I will continue posting as much information as I can to help spread the knowledge for those of you still questioning and considering the Data Vault. I will also try to share more success stories as we go, as much of my industry knowledge has been accrued in the field - actually building systems that have turned in to successes over the years.
Ok, let's discuss the health-care provider space, conceptually managed data and master data sets, and a few other things along the way.
Most of you by now have heard the words: "Data Vault". When you run it through your favorite search engine you get all kinds of different hits/definitions. No surprise. So what is it that I'm referring to when I discuss "Data Vault" with BI and EDW audiences?
This entry will try to answer such basic questions, just to provide a foundation of knowledge with which to build your fact finding on.