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SF Data Weekly - Visualizing Falling in Love, Dagster and Hexamaps

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September 23 · Issue #258 · View online
SF Data Weekly
This week’s pick is a visualization of how one person used dating apps to find love.
We also have a dive into Dagster as an alternative to Airflow, and a source for hexamaps of US Congressional Districts. Stay healthy!

Our Pick
SPOTLIGHT: How Long Does It Take to Fall in Love? | Nightingale
Data Pipelines
Dabbling with Dagster - Part 1 - by David Jayatillake
How a Tour Operation Company Used Data to Improve Their Customer Experience
Data Storage
What we learned after I deleted the main production database by mistake | by Hugo Rocha | Sep, 2022 | Medium
Choose the k-NN algorithm for your billion-scale use case with OpenSearch | Amazon Web Services
TablePlus: A Native, Beautiful Tool for Relational Databases
Data Analysis
Dealing with Outliers Using Three Robust Linear Regression Models | by Eryk Lewinson | Aug, 2022 | Towards Data Science
Estimating the Performance of an ML Model in the Absence of Ground Truth | by Eryk Lewinson | Towards Data Science
Data Visualization
Inspired by the Future: Star Trek and the Rise of Dataviz | Nightingale
Congressional District Hexamaps | DailyKos Elections
Data-driven Products
Data Quality Automation at Twitter
Optimizing data ingestion infrastructure to support more AI models
Data Engineering Jobs
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