database – Page 2 – Andrew Fairless, Ph.D.

What I Read: Navigating Data Tensions

By Andrew Fairless on February 28, 2024January 25, 2024

https://dataanalysis.substack.com/p/special-edition-analytics-as-applied Special Edition: Navigating Data Tensions and the Future of Analytics | Lauren BalikOlga Berezovsky and Lauren BalikJan 8, 2024 “…it is now more expensive to acquire new customers, andContinue readingWhat I Read: Navigating Data Tensions

What I Read: survey LLM tooling

By Andrew Fairless on February 8, 2024February 5, 2024

https://ericmjl.github.io/blog/2024/2/1/an-incomplete-and-opinionated-survey-of-llm-tooling/ An (incomplete and opinionated) survey of LLM toolingEric J. Ma1/31/24 7:00 PM “More critical than specifying specific tools, my goal with this blog post is to outline a frameworkContinue readingWhat I Read: survey LLM tooling

What I Read: Retrieval Augmented Generation at scale

By Andrew Fairless on December 13, 2023November 7, 2023

https://medium.com/@neum_ai/retrieval-augmented-generation-at-scale-building-a-distributed-system-for-synchronizing-and-eaa29162521 Retrieval Augmented Generation at scale — Building a distributed system for synchronizing and ingesting billions of text embeddingsNeum AISep 28 “…getting a Retrieval Augmented Generation (RAG) application started isContinue readingWhat I Read: Retrieval Augmented Generation at scale

What I Read: Data, The Land DevOps Forgot

By Andrew Fairless on November 28, 2023October 5, 2023

Data – The Land DevOps Forgot • Michael Nygard • YOW! 2023GOTO ConferencesSep 30, 2023Michael Nygard – General Manager of Data at Nubank & Author of “Release It!” “We willContinue readingWhat I Read: Data, The Land DevOps Forgot

What I Read: Composable Data Systems

By Andrew Fairless on October 19, 2023September 9, 2023

https://wesmckinney.com/blog/looking-back-15-years/ The Road to Composable Data Systems: Thoughts on the Last 15 Years and the FutureWes McKinneySeptember 1, 2023 “Julien Le Dem… coined the term “deconstructed database” to describe theContinue readingWhat I Read: Composable Data Systems

What I Read: Multimodal, Embeddings

By Andrew Fairless on October 5, 2023September 4, 2023

https://app.twelvelabs.io/blog/multimodal-embeddings The Multimodal Evolution of Vector EmbeddingsJames LeAugust 9, 2023 “…companies collect and feed hundreds of millions of terabytes of multimodal data into deep learning models. As a result, embeddings…Continue readingWhat I Read: Multimodal, Embeddings

What I Read: databases

By Andrew Fairless on May 2, 2023March 30, 2023

https://www.thenile.dev/blog/things-dbs-dont-do Things DBs Don’t Do – But ShouldFebruary 6, 2023Gwen Shapira “Why do I still need to implement this in every project? why doesn’t the DB just take care ofContinue readingWhat I Read: databases

What I Read: Infrastructure

By Andrew Fairless on April 12, 2023March 30, 2023

https://www.kleinerperkins.com/perspectives/infrastructure-in-23/ Infrastructure in ’23Kleiner PerkinsWednesday, February 22nd 2023 “I set aside some time at the beginning of the year to share what I believe to be the most dynamic andContinue readingWhat I Read: Infrastructure

What I Learn: SQL, Malloy

By Andrew Fairless on April 4, 2023February 22, 2023

https://carlineng.com/?postid=sql-renaissance#blog SQL, Malloy, and the Art of the RenaissanceCarlin Eng02.05.2023 “By allowing sub-tables within resultsets, Malloy results are able to faithfully represent the true dimensionality of the underlying data.”

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

Tag: database