database – Page 4 – Andrew Fairless, Ph.D.

What I Read: data replication in production

By Andrew Fairless on July 25, 2022June 27, 2022

https://medium.com/shippeo-tech-blog/debezium-to-snowflake-lessons-learned-building-data-replication-in-production-a5430a9fe85b Debezium to Snowflake: Lessons learned building data replication in productionOmar GhalawinjiJun 1 “We use Debezium, an excellent open-source tool to perform log-based Change Data Capture; which is the processContinue readingWhat I Read: data replication in production

What I Read: Bundling into the Database

By Andrew Fairless on July 5, 2022June 27, 2022

https://www.ethanrosenthal.com/2022/05/10/database-bundling/ Let’s Continue Bundling into the DatabaseEthan RosenthalMay 10, 2022 “Truthfully, I just want to argue that feature stores, metrics layers, and machine learning monitoring tools are all abstraction layersContinue readingWhat I Read: Bundling into the Database

What I Read: Should Warehouse Be Immutable?

By Andrew Fairless on June 14, 2022May 23, 2022

https://www.kdnuggets.com/2022/05/data-warehouse-immutable.html Should The Data Warehouse Be Immutable?By Barr Moses, CEO and Co-founder of Monte CarloMay 17, 2022By Barr Moses & Chad Sanderson “As he sees it, data quality and usabilityContinue readingWhat I Read: Should Warehouse Be Immutable?

What I Read: Dataset-Centric Visualization

By Andrew Fairless on May 23, 2022April 25, 2022

https://preset.io/blog/dataset-centric-visualization/ DATA ENGINEERINGThe Case for Dataset-Centric VisualizationMaxime BeaucheminMarch 30, 2022 “Different BI tools offer different approaches to building dashboards. On one end of the spectrum, you have tools that prescribeContinue readingWhat I Read: Dataset-Centric Visualization

What I Read: Scale Real-time Data Infrastructure

By Andrew Fairless on April 4, 2022February 3, 2022

https://zhenzhongxu.com/the-four-innovation-phases-of-netflixs-trillions-scale-real-time-data-infrastructure-2370938d7f01 The Four Innovation Phases of Netflix’s Trillions Scale Real-time Data InfrastructureZhenzhong Xu2/1/2022“I think it’s a perfect time to summarize my learnings building the real-time data infrastructure at Netflix. IContinue readingWhat I Read: Scale Real-time Data Infrastructure

What I Read: How Should Organizations Structure their Data?

By Andrew Fairless on February 23, 2022January 20, 2022

https://towardsdatascience.com/how-should-organizations-structure-their-data-c19b66d629e How Should Organizations Structure their Data?A review of three popular data warehousing techniquesMichael Berk “Efficient data infrastructure leads to efficient data scientists. How you structure your data as anContinue readingWhat I Read: How Should Organizations Structure their Data?

What I Read: Lessons on ML Platforms

By Andrew Fairless on December 20, 2021November 16, 2021

https://towardsdatascience.com/lessons-on-ml-platforms-from-netflix-doordash-spotify-and-more-f455400115c7 Lessons on ML Platforms — from Netflix, DoorDash, Spotify, and moreErnest ChanMay 12 “Many companies who do ML well have invested in ML platforms to enable data scientists toContinue readingWhat I Read: Lessons on ML Platforms

What I Read: Is the data engineer still the “worst seat at the table?”

By Andrew Fairless on November 22, 2021November 16, 2021

https://towardsdatascience.com/the-future-of-the-data-engineer-4dcfa53800ab?gi=f71612388916 The Future of the Data EngineerIs the data engineer still the “worst seat at the table?” Thoughts on the past, present, and future of tooling, processes, and culture inContinue readingWhat I Read: Is the data engineer still the “worst seat at the table?”

Tag: database