warehouse – Andrew Fairless, Ph.D.

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: Big Data is Dead

By Andrew Fairless on November 4, 2024August 3, 2024

https://motherduck.com/blog/big-data-is-dead Big Data is DeadJordan Tigani2023/02/07 “Misunderstanding of this point leads to a lot of the discussion of Big Data, because techniques for dealing with large compute requirements are differentContinue readingWhat I Read: Big Data is Dead

What I Read: Database Disassembly

By Andrew Fairless on March 27, 2024February 5, 2024

https://materializedview.io/p/databases-are-falling-apart Databases Are Falling Apart: Database Disassembly and Its ImplicationsChris RiccominiJan 29, 2024 “Why are engineers taking databases apart and putting them back together, again?”

What I Read: Data Engineering 2023 Predictions

By Andrew Fairless on February 20, 2023December 16, 2022

https://www.montecarlodata.com/blog-13-data-engineering-trends-for-2023/ What’s Next for Data Engineering in 2023? 13 PredictionsBarr MosesCEO and Co-founder, Monte Carlo. Proponent of data reliability and action movies.Updated November 29, 2022 “…let’s dive into Tomasz’s predictionsContinue readingWhat I Read: Data Engineering 2023 Predictions

What I Read: Data Engineers, What’s the profession about

By Andrew Fairless on December 1, 2022October 20, 2022

https://www.kdnuggets.com/2022/10/11-questions-data-engineers-profession-heading.html 11 Questions About Data Engineers: What’s the profession about, and where’s it heading?I hope my answers will be useful to novice data engineers and anyone interested in data engineering.ByContinue readingWhat I Read: Data Engineers, What’s the profession about

What I Read: end-to-end, infrastructure, recommendations

By Andrew Fairless on November 7, 2022September 27, 2022

Recommend API Recommend APIUnified end-to-end machine learning infrastructure to generate recommendationsKatrina Ni Senior Software Engineer, Machine LearningAaron Maurer Senior Manager, Software EngineeringSeptember 6, 2022 “…we developed a unified framework weContinue readingWhat I Read: end-to-end, infrastructure, recommendations

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: 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: Death of Data Modeling

By Andrew Fairless on July 18, 2022June 27, 2022

https://dataproducts.substack.com/p/the-death-of-data-modeling-pt-1?s=r The Death of Data Modeling – Pt. 1And why it must be resurrected in the Modern Data StackChad Sanderson “The Death of Data Modeling and why it must beContinue readingWhat I Read: Death of Data Modeling

What I Read: Bundling into the Database

By Andrew Fairless on July 5, 2022June 27, 2022

https://www.ethanrosenthal.com/2022/05/10/database-bundling/ Let’s Continue Bundling into the DatabaseEthan RosenthalMay 10, 2022 “Truthfully, I just want to argue that feature stores, metrics layers, and machine learning monitoring tools are all abstraction layersContinue readingWhat I Read: Bundling into the Database

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