data – Andrew Fairless, Ph.D.

What I Read: deliberately create data

By Andrew Fairless on October 31, 2022September 9, 2022

https://datacreation.substack.com/p/organizations-need-to-deliberately Organizations need to deliberately create dataWhy we need to stop thinking of data as oilYali SassoonSep 5 “Organizations can and should deliberately create data to power machine learning… theyContinue readingWhat I Read: deliberately create data

What I Read: data-driven companies

By Andrew Fairless on September 14, 2022August 22, 2022

https://benn.substack.com/p/do-data-driven-companies-win Do data-driven companies actually win?Some gut-based judgements on the effectiveness of data.Jul 22 “Data offers the same promise…. Though it makes us a bit more informed in each decision,Continue readingWhat I Read: data-driven companies

What I Read: Taxonomy of Tech Debt

By Andrew Fairless on May 3, 2022April 24, 2022

https://technology.riotgames.com/news/taxonomy-tech-debt A Taxonomy of Tech DebtApr 10, 2018 “This post will focus on types of tech debt I’ve seen during my time working at Riot, and a model for discussingContinue readingWhat I Read: Taxonomy of Tech Debt

What I Read: Expressiveness in Visualization

By Andrew Fairless on April 20, 2022March 12, 2022

https://filwd.substack.com/p/beyond-precision-expressiveness-in Beyond Precision: Expressiveness in VisualizationUsing precision as guidance for visualization design is powerful and yet limited in many different ways. Expressiveness may help.Enrico BertiniFeb 22 “In visualization orthodoxy, pieContinue readingWhat I Read: Expressiveness in Visualization

What I Read: Economics of Data Businesses

By Andrew Fairless on April 12, 2022March 12, 2022

https://pivotal.substack.com/p/economics-of-data-biz The Economics of Data BusinessesHow data businesses start, and how they keep going, and growing, and growing.Abraham ThomasJan 29 “Despite the fact that many of the largest and mostContinue readingWhat I Read: Economics of Data Businesses

What I Read: Scale Real-time Data Infrastructure

By Andrew Fairless on April 4, 2022February 3, 2022

https://zhenzhongxu.com/the-four-innovation-phases-of-netflixs-trillions-scale-real-time-data-infrastructure-2370938d7f01 The Four Innovation Phases of Netflix’s Trillions Scale Real-time Data InfrastructureZhenzhong Xu2/1/2022“I think it’s a perfect time to summarize my learnings building the real-time data infrastructure at Netflix. IContinue readingWhat I Read: Scale Real-time Data Infrastructure

What I Read: ML model drift in production

By Andrew Fairless on March 21, 2022January 20, 2022

https://towardsdatascience.com/my-data-drifted-whats-next-how-to-handle-ml-model-drift-in-production-78719ef007b1 “My data drifted. What’s next?” How to handle ML model drift in production.An introductory overview of the possible steps.Elena SamuylovaDec 1, 2021 ““I have a model in production, andContinue readingWhat I Read: ML model drift in production

What I Read: A Behind-the-Scenes Look at How Postman’s Data Team Works

By Andrew Fairless on November 23, 2021November 16, 2021

https://humansofdata.atlan.com/2021/10/a-behind-the-scenes-look-at-how-postmans-data-team-works/ A Behind-the-Scenes Look at How Postman’s Data Team WorksOctober 7, 2021Prukalpa Sankar “But after a lot of effort to build better infrastructure and processes, Postman’s data team is nowContinue readingWhat I Read: A Behind-the-Scenes Look at How Postman’s Data Team Works

What I Watch: Streaming Data Systems w/ Eric Sammer (Decodable)

By Andrew Fairless on October 27, 2021October 24, 2021

https://youtu.be/ZGGLtqwJOAw DC_THURS on Streaming Data Systems w/ Eric Sammer (Decodable)Streamed live on Sep 30, 2021Data Council “Eric is an OG data engineer and one of most knowledgeable people on theContinue readingWhat I Watch: Streaming Data Systems w/ Eric Sammer (Decodable)

What I Read: Against SQL

By Andrew Fairless on September 1, 2021August 17, 2021

https://scattered-thoughts.net/writing/against-sql/ Against SQLJamie BrandonLast updated 2021-07-09 “The core message that I want people to take away is that there is potentially a huge amount of value to be unlocked byContinue readingWhat I Read: Against SQL

Tag: data