1. Big Data – a Little Analysis
Chris Swan
@cpswan

2. Overview

3. Simple Problems
Low data volume, simple algorithm(s)

4. Quant Problems
Any data volume, complex algorithm(s)

5. Big Data Problems
Large data volume, simple algorithm(s)
Types of Big Data Problem:
1. Inherent
2. More data gives better
result than more complex
algorithm

6. The good and bad of big data
Good
– Lots of new tools, mostly open source
Bad
– Term being abused by marketing departments
– Can easily lead to over reliance on systems that
lack transparency and ignore specific data points
'Computer says no', but nobody can explain why

7. Whoever thinks his problem is
solved by big data,
doesn’t understand his problem
and doesn’t understand big data
(With apologies to Roger Needham)
Original blog post at is.gd/swbdla