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Mark Whitehorn

Main Details

Full name Mark Whitehorn
Country United Kingdom
Primary language English
Specialist areas

Mark specialises in making complex information understandable. Hence he does a great deal of work for PR companies writing press releases and also writing white papers for technology companies. Big data, multi dimensional, multi-dimensional, multidimensional, business intelligence (BI), MDX, knowledge management, datawarehousing, data warehousing, warehouse, datamining, data mining, OLAP, RDBMS, database, databases, OLTP.

Editorial work News writing, Features writing, Editing, Radio
Last updated 01-01-2012 10:56

Biography

Professor Mark Whitehorn is a well-recognised commentator on the computer world having been publishing since 1987 in the form of articles, white papers and books. He wrote the database column in PCW for 17 years and the BI column in Server Managment for seven.

He specialises in database technology, data warehousing and OLAP and has written eleven books. The first, ‘Inside Relational Databases’, was published in 1997, rapidly became a best seller and is now it its third edition. It has been translated into three languages (other than English that is).

The most recent book is on MDX (a language for manipulating multi-dimensional data structures) and was co-written with the main architect of the language – Mosha Pasumansky.

As well as writing he runs a consultancy company which specialises in database design and data warehousing. He is also a much sought after as a speaker at conferences.

On the academic side he:

1. is currently involved in an international research project based at Cambridge University, analysing the hitherto unknown data that was available to Darwin before he wrote The Origin of Species. A paper has recently been published in Nature which essentially rewrites our understanding of how Darwin came to develop the theory of evolution.

2. holde the chair of Analytics at the University of Dundee where he runs a Masters course in BI. He carries out research into how we can design and running BI systems more effectively and into the application of BI to scientific work.

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