stream – Andrew Fairless, Ph.D.

What I Read: Distributed Systems Programming

By Andrew Fairless on June 5, 2025March 10, 2025

https://www.shadaj.me/writing/distributed-programming-stalled Distributed Systems Programming Has StalledShadaj LaddadFebruary 26, 2025 “…there are tons of frameworks for writing distributed code… they only offer band-aids and sugar over three fixed underlying paradigms… We’reContinue readingWhat I Read: Distributed Systems Programming

What I Read: composable data platforms

By Andrew Fairless on June 4, 2025March 10, 2025

https://jack-vanlightly.com/blog/2025/2/17/towards-composable-data-platforms Towards composable data platformsJack VanlightlyFebruary 17, 2025 “The key is that it allows for the separation of data from metadata and shared storage from compute. Through metadata, one tableContinue readingWhat I Read: composable data platforms

What I Read: Feature Platforms

By Andrew Fairless on March 14, 2023February 4, 2023

https://huyenchip.com//2023/01/08/self-serve-feature-platforms.html Self-serve feature platforms: architectures and APIsChip HuyenJan 8, 2023 “The last few years saw the maturation of a core component of the MLOps stack that has significantly improved theContinue readingWhat I Read: Feature Platforms

What I Read: Data Pipeline Design Patterns

By Andrew Fairless on March 8, 2023January 9, 2023

https://www.startdataengineering.com/post/design-patterns/ Data Pipeline Design Patterns – #1. Data flow patternsStart Data EngineeringDec 11, 2022 “This post will cover the typical data flow design patterns. We will learn about the prosContinue readingWhat I Read: Data Pipeline Design Patterns

What I Read: State of Data Engineering 2022

By Andrew Fairless on August 3, 2022June 27, 2022

https://www.rudderstack.com/blog/the-state-of-data-engineering-in-2022/ The State of Data Engineering in 2022Eric DoddsJanuary 05, 2022 “In this post, we wanted to share our thoughts on the data industry in 2022…”

What I Read: data replication in production

By Andrew Fairless on July 25, 2022June 27, 2022

https://medium.com/shippeo-tech-blog/debezium-to-snowflake-lessons-learned-building-data-replication-in-production-a5430a9fe85b Debezium to Snowflake: Lessons learned building data replication in productionOmar GhalawinjiJun 1 “We use Debezium, an excellent open-source tool to perform log-based Change Data Capture; which is the processContinue readingWhat I Read: data replication in production

What I Read: evaluate online machine learning models

By Andrew Fairless on March 14, 2022January 20, 2022

https://maxhalford.github.io/blog/online-learning-evaluation/ The correct way to evaluate online machine learning modelsMax Halford2020-06-07 “Batch models are meant to be used when you can afford to retrain your model from scratch every soContinue readingWhat I Read: evaluate online machine learning models

What I Read: Real-time machine learning

By Andrew Fairless on March 9, 2022January 20, 2022

https://huyenchip.com//2022/01/02/real-time-machine-learning-challenges-and-solutions.html Real-time machine learning: challenges and solutionsJan 2, 2022 • Chip Huyen “Starting with a batch prediction system, we’ll discuss what’s needed for a simple online prediction system using batchContinue readingWhat I Read: Real-time machine learning

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)

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