stream – Andrew Fairless, Ph.D.

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)

What I Read: Machine learning is going real-time

By Andrew Fairless on March 3, 2021March 3, 2021

https://huyenchip.com/2020/12/27/real-time-machine-learning.html Machine learning is going real-timeDec 27, 2020Chip Huyen “Machine learning is going real-time, whether you’re ready or not. While the majority of companies are still debating whether there’s valueContinue readingWhat I Read: Machine learning is going real-time

What I Read: Cellular Automata in Stream Learning

By Andrew Fairless on February 17, 2021January 18, 2021

https://www.kdnuggets.com/2020/11/cellular-automata-stream-learning.html Cellular Automata in Stream LearningBy Jesús López, Data Scientist and Researcher in Machine Learning and Artificial Intelligence “With the advent of fast data streams, real-time machine learning has becomeContinue readingWhat I Read: Cellular Automata in Stream Learning

Tag: stream