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

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: One Voice Detector to Rule Them All

By Andrew Fairless on April 18, 2022March 12, 2022

https://thegradient.pub/one-voice-detector-to-rule-them-all/ One Voice Detector to Rule Them All19.Feb.2022Alexander VeysovDimitrii Voronin “In our work we are often surprised by the fact that most people know about Automatic Speech Recognition (ASR), butContinue readingWhat I Read: One Voice Detector to Rule Them All

What I Read: marketplace ranking infrastructure

By Andrew Fairless on March 15, 2022January 20, 2022

https://craft.faire.com/building-faires-new-marketplace-ranking-infrastructure-a53bf938aba0 Building Faire’s new marketplace ranking infrastructureSam KennyNov 3, 2021 “At Faire, all three of these core surfaces are powered by one unified ranking infrastructure that we refer to internallyContinue readingWhat I Read: marketplace ranking infrastructure

What I Learn: Scaling TensorFlow

By Andrew Fairless on October 12, 2021September 24, 2021

https://arxiv.org/abs/2109.09541 Scaling TensorFlow to 300 million predictions per secondJan Hartman, Davorin Kopič “In this work, we describe the process of scaling machine learning models implemented in the TensorFlow machine learningContinue readingWhat I Learn: Scaling TensorFlow

What I Read: Against SQL

By Andrew Fairless on September 1, 2021August 17, 2021

https://scattered-thoughts.net/writing/against-sql/ Against SQLJamie BrandonLast updated 2021-07-09 “The core message that I want people to take away is that there is potentially a huge amount of value to be unlocked byContinue readingWhat I Read: Against SQL

What I Read: Understanding Key-Value Databases

By Andrew Fairless on April 29, 2021April 10, 2021

https://www.kdnuggets.com/2021/04/nosql-explained-understanding-key-value-databases.html NoSQL Explained: Understanding Key-Value DatabasesBy Alex Williams, Hosting Data UK “Among the four big NoSQL database types, key-value stores are probably the most popular ones due to their simplicityContinue readingWhat I Read: Understanding Key-Value Databases

What I Watch: Why Distributed Systems Are Hard

By Andrew Fairless on March 20, 2021March 7, 2021

https://youtu.be/w9GP7MNbaRc Why Distributed Systems Are HardJul 15, 2020InfoQ “Denise Yu covers a brief history of distributed computing, presents a survey of key academic contributions to distributed systems theory… and digsContinue readingWhat I Watch: Why Distributed Systems Are Hard

What I Read: Feature Store vs Data Warehouse

By Andrew Fairless on February 25, 2021February 18, 2021

https://www.logicalclocks.com/blog/feature-store-vs-data-warehouse ML Engineer Guide: Feature Store vs Data WarehouseOctober 8, 2020ML Best Practicesby Jim Dowling “The feature store is a data warehouse of features for machine learning (ML). Architecturally, itContinue readingWhat I Read: Feature Store vs Data Warehouse

What I Read: Building a Gigascale ML Feature Store

By Andrew Fairless on February 18, 2021January 18, 2021

https://doordash.engineering/2020/11/19/building-a-gigascale-ml-feature-store-with-redis/ Building a Gigascale ML Feature Store with Redis, Binary Serialization, String Hashing, and CompressionNovember 19, 2020 21 Minute Read Data, Machine Learning 36Arbaz Khan Zohaib Sibte Hassan “When aContinue readingWhat I Read: Building a Gigascale ML Feature Store

What I Read: Developers Databases

By Andrew Fairless on December 21, 2020December 9, 2020

https://medium.com/@rakyll/things-i-wished-more-developers-knew-about-databases-2d0178464f78 Things I Wished More Developers Knew About DatabasesJaana B. DoganApr 21 “In data-heavy systems, databases are at the core of system design goals and tradeoffs…. I’m sharing a fewContinue readingWhat I Read: Developers Databases

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