Contributor: Bill Inmon
Bill Inmon has written 54 books published in 9 languages. Bill’s company -- Forest Rim Technology -- reads textual narrative and disambiguates the text and places the output in a standard data base. Once in the standard data base, the text can be analyzed using standard analytical tools such as Tableau, Qlikview, Concurrent Technologies, SAS, and many more analytical technologies. His latest book is Data Lake Architecture.
All articles by Bill Inmon
Text is commonly referred to as unstructured data, but it clearly has structure. What does "unstructured" mean in a data context?
- By Bill Inmon
- June 28, 2016
Textual analytics has come a long way from the early days of comment fields. Each step toward textual disambiguation has grown a little closer to providing truly effective analytics for text.
- By Bill Inmon
- June 2, 2016
There are plenty of natural obstacles to dealing with text, but those who feel threatened by advances in textual processing are inventing artificial obstacles as well.
- By Bill Inmon
- May 23, 2016
We IT professionals are in danger of losing our history if we don't make the effort to remember the contributions of those who went before us.
- By Bill Inmon
- May 12, 2016
Getting important information from a simple email involves more potential obstacles than you might imagine.
- By Bill Inmon
- April 29, 2016
Is your data lake just a garbage dump?
- By Bill Inmon
- April 14, 2016
Today's BI application programmers are the beneficiaries of a long progression of language development. Here are some of the highlights that make today's BI applications possible.
- By Bill Inmon
- April 5, 2016
What, exactly, does the infrastructure look like that we need so data lakes can support analytical processing?
- By Bill Inmon
- March 24, 2016