Brian Dolan
VP Product, Discovix

Brian is a business analyst with a Masters in Biomathematics from the David Geffen School of Medicine at UCLA and a Masters in Pure Mathematics from the University of California, Los Angeles. Brian has more than 17 years of analytic experience, and has worked at Yahoo, MySpace, UCLA. He turns massive peta-scale data sets, from multi-terabyte databases , into strategic decisions. His forte is mapping complicated mathematical models into actionable business solutions. He is a frequent speaker on Machine learning topics at the Institute for Business Forecasters, UCLA, UC Berkeley, and SAS and is the co-author of several relevant white papers including the Mad Skills paper.


Location: Mission City M
Brian Dolan (Discovix ), Joe Hellerstein (UC Berkeley)
Average rating: ***..
(3.75, 20 ratings)
A discussion of Big Data approaches to analysis problems in marketing, forecasting, academia and enterprise computing. We focus on practices to enhance collaboration and employ rich statistical methods: a Magnetic, Agile and Deep (MAD) approach to analytics. While the approach is language-agnostic, we show that sophisticated statistics can be easily scaled in traditional environments like SQL. Read more.


  • Thomson Reuters
  • EMC Data Computing Division
  • EnterpriseDB
  • Microsoft
  • Gnip
  • Rackspace Hosting
  • IBM
  • Windows Azure MarketPlace DataMarket
  • Amazon Mechanical Turk
  • Amazon Web Services
  • Aster Data
  • Cloudera
  • Clustrix
  • DataStax, Inc. (formerly Riptano, Inc.)
  • Digital Reasoning Systems
  • Heritage Provider Network
  • Impetus
  • Jaspersoft
  • Karmasphere
  • LinkedIn
  • MarkLogic
  • Pentaho
  • Pervasive
  • Revolution Analytics
  • Splunk
  • Urban Mapping
  • Wolfram|Alpha
  • Esri
  • ParAccel
  • Tableau Software

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