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

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

What I Read: SQLite

By Andrew Fairless on November 22, 2022September 27, 2022

SQLite: Past, Present, and Future SQLite: Past, Present, and FutureSaturday, September 24, 2022 “Being designed as an OLTP database, SQLite employs row-oriented execution… However, there is a growing need forContinue readingWhat I Read: SQLite

What I Read: ML Engineering

By Andrew Fairless on November 1, 2022September 26, 2022

https://www.shreya-shankar.com/phd-year-one/ Thoughts on ML Engineering After a Year of my PhDJuly 18, 2022Shreya Shankar “There are two types of business-critical MLEs. The first is the Task MLE…”

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: Machine Learning Metadata

By Andrew Fairless on October 24, 2022September 9, 2022

https://www.kdnuggets.com/2022/08/machine-learning-metadata-store.html Machine Learning Metadata StoreBy Akruti Acharya, Technical Content WriterAugust 31, 2022 “Storing the metadata would help in retraining the same model and get the same results…. Hence, the needContinue readingWhat I Read: Machine Learning Metadata

What I Read: Snowflake Query Optimizer

By Andrew Fairless on October 11, 2022September 27, 2022

https://teej.ghost.io/understanding-the-snowflake-query-optimizer/ Understanding the Snowflake Query OptimizerSep 18, 2022 “The job of a query optimizer is to reduce the cost of queries without changing what they do…. Query optimizers aren’t uniqueContinue readingWhat I Read: Snowflake Query Optimizer

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…”

Tag: database