warehouse – Andrew Fairless, Ph.D.

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

What I Read: Should Warehouse Be Immutable?

By Andrew Fairless on June 14, 2022May 23, 2022

https://www.kdnuggets.com/2022/05/data-warehouse-immutable.html Should The Data Warehouse Be Immutable?By Barr Moses, CEO and Co-founder of Monte CarloMay 17, 2022By Barr Moses & Chad Sanderson “As he sees it, data quality and usabilityContinue readingWhat I Read: Should Warehouse Be Immutable?

Tag: warehouse