https://fennel.ai/blog/seven-reasons-why-realtime-ml-is/ Seven Reasons Why Realtime ML Is Here To StayNikhil GargJune 17, 2022 “…more and more top tech companies are making a larger part of their machine learning as realtime
What I Read: ELT Schedules, Root Cause Analysis
https://www.montecarlodata.com/how-elt-schedules-can-improve-root-cause-analysis-for-data-engineers/ How ELT Schedules Can Improve Root Cause Analysis For Data EngineersRyan KearnsUpdated December 9, 2022 “In this article, Ryan Kearns… discusses the limitations of segmentation analysis when it comes
What I Read: Realtime ML Pipelines
https://medium.com/@nparsons08/challenges-of-building-realtime-ml-pipelines-4782181425c7 Challenges of Building Realtime ML PipelinesNick ParsonsNov 18 “…as companies start introducing realtime into their ML pipelines, they are finding themselves having to weigh the trade-offs between performance, cost,
What I Read: Data Pipeline Smoke Tests
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: data catalogs, metadata
https://towardsdatascience.com/forrester-changed-the-way-they-think-about-data-catalogs-and-heres-what-you-need-to-know-139e13a5869d?gi=7192c997040d Forrester changed the way they think about data catalogs, and here’s what you need to knowThe latest sign of a major shift in how we think about metadataPrukalpaOct 4
What I Read: ML Engineering
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…”