Jump to Content
Dan Dennison

Dan Dennison

Dan Dennison has been a Site Reliability Engineer at Google for the past eight years, working on various large pipelines in Ads Quality across all ad networks, including Search, Content, and Display. The Ads Quality team at Google improves, expands, and supports one of the world’s largest machine learning deployments. Ads Quality also crawls and indexes all advertisements, and enforces policies on new and existing ads.
Authored Publications
Google Publications
Other Publications
Sort By
  • Title
  • Title, desc
  • Year
  • Year, desc
    Data Processing Pipelines
    Tim Harvey
    Site Reliability Engineering: How Google Runs Production Systems, O'Reilly (2016)
    Preview
    Continuous Pipelines at Google
    SRECon Europe 2015, USENIX, Dublin, Ireland, pp. 12
    Preview abstract This article focuses on the real life challenges of managing data processing pipelines of depth and complexity. It considers the frequency continuum between periodic pipelines that run very infrequently through continuous pipelines that never stop running, and discusses the discontinuities that can produce significant operational problems. A fresh take on the master­slave model is presented as a more reliable and better scaling alternative to the periodic pipeline for processing Big Data. View details
    Hidden Technical Debt in Machine Learning Systems
    Gary Holt
    Eugene Davydov
    Dietmar Ebner
    Vinay Chaudhary
    Michael Young
    Jean-François Crespo
    NIPS (2015), pp. 2503-2511
    InvaderBot: A Portable Network Extension to Invader, a Program that Plays The Game of the Amazons
    Ph.D. Thesis, CSU Northridge (2006), pp. 50