Mark Whitehorn specialises in the areas of data science and BI.
with national and international companies, designing BI systems and Data
Science solutions. In addition to his consultancy practice he has also
acted as an expert witness in cases of patent infringement and for the police
in cases of computer fraud.
He is a
well-recognised commentator on the computer world. He is a regular
contributor to The Register, has written numerous white papers and
also eleven books on database and BI technology. The first one, Inside
Relational Databases has been selling well since it was published in 1997
and is now in its third edition. It has also been translated into three
languages. Another of his books FastTrack to MDX was co-written with the
inventor of the language, Mosha Pasumansky.
is also an associate with QA Ltd. He has developed several of the
company's courses (data science and big data course, database analysis and
design, MDX, Dimensional modelling) and teaches them all.
the academic side, Mark is the emeritus Professor of Analytics at the University
of Dundee where he designed and runs a Masters course in Data Science.
There he also works with the prestigious Lamond labs. applying BI and Data
Science to proteomics.
relaxation he collects, restores and races historic cars which keeps him out of
too much trouble. He only wears a tie under duress, doesn't possess a suit that
fits and unashamedly belongs to the beard-and-sandals school of computing.
Why and when denormalisation makes sense.
This talk looks at MDX and DAX, examining their similarities and differences. It won’t turn you into an expert in either but it will help you to decide, given your particular career plans, if either or both are worth learning.
There are some little-known but very useful ways of extracting information from data.
This session will cover:
• Monte Carlo simulations
• Nyquist’s Theorem
• Simpson’s paradox
• Benford’s Law
These will rock your world (they certainly rocked mine).
Analytics is all about having a good set of analytical tools. Last year at Sqlbits I outlined 4 such tools, this session will expand on that set. We’ll cover Dark Data, Probability calculations, RFI