Companies currently collect vast swathes of data; some is analysed, much isn’t. The stuff that isn’t analysed is Dark. Clearly the name has its origins in the term “Dark Matter”. Dark Data, like dark matter, is invisible (at least in the analytical universe) but that doesn’t stop it significantly affecting virtually all the analyses that we perform. This talk will introduce three flavours of dark data and talk about how an understanding of them can help us to perform better analysis.
YOU MAY ALSO LIKE:
- Lightbend Akka for Scala - Professional (in London on 11th - 12th November 2019)
- Advanced Scala with Dick Wall (in London on 9th - 11th December 2019)
- F# eXchange 2020 (in London on 2nd - 3rd April 2020)
- Keynote by Dick Wall on Why API Design Matters, and Why Yours Sucks! (and mine sucks too!) (in London on 24th June 2019)
- Keynote by Emily Robinson on Creating a Strong Data Science Portfolio (in London on 24th June 2019)
- Hate Speech as a Service (SkillsCast recorded in May 2019)
- Scala 2.13 and Beyond! (SkillsCast recorded in April 2019)
Prof. Mark Whitehorn specialises in the areas of Data Science, Analytics, Data Modeling, Data Warehousing, and Business Intelligence. As a consultant he works with national and international companies designing analytical systems. Mark is a well-recognized commentator on the computer world, publishing articles, white papers, and 10 books on database and BI technology. As an academic, Mark is the Emeritus Professor of Analytics at the University of Dundee where he teaches masters courses in BI and Data Science.