database – Page 3 – Andrew Fairless, Ph.D.

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

What I Read: Data Pipeline Smoke Tests

By Andrew Fairless on January 4, 2023November 5, 2022

https://dagster.io/blog/smoke-test-data-pipeline The Unreasonable Effectiveness of Data Pipeline Smoke TestsSandy RyzaOctober 19, 2022 “Data practitioners waste time writing unit tests to catch bugs they could have caught with smoke tests.”

What I Read: Key-Value Databases

By Andrew Fairless on December 5, 2022October 20, 2022

https://www.kdnuggets.com/2021/04/nosql-explained-understanding-key-value-databases.html Key-Value Databases, ExplainedBy Alex Williams, Hosting Data UK on October 4, 2022 in SQL “Among the four big NoSQL database types, key-value stores are probably the most popular onesContinue readingWhat I Read: Key-Value Databases

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

Tag: database