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SF Data Weekly - Our World in Data, Lyft Ride Matching and Slack ML

Our pick this week, from Our World in Data, shows how data visualization can make a difficult and ser
August 14 · Issue #150 · View online
SF Data Weekly
Our pick this week, from Our World in Data, shows how data visualization can make a difficult and serious topic more understandable through interactive charts and graphs.
We also have a fascinating piece on Lyft’s new algorithm that matches riders with rides, as well as Slack’s use of ML to stop invite spam.
Finally, we’d like to invite you to a webinar featuring a data scientist from Wealthsimple, a Canadian Fintech company, who will be sharing interesting details about their team and data stack.
Stay healthy!

Our Pick
Suicide - Our World in Data
Data Pipelines
Easily Run Data Science Workflows in Slack using Python, Jupyter & AWS EKS
Monitor and Optimize Analytic Workloads on Amazon EMR with Prometheus and Grafana | Amazon Web Services
Data Storage
Deciding between Row- and Columnar-Stores | Why We Chose Both | by Alexa Griffith | Bluecore Engineering | Aug, 2020 | Medium
Data Analysis
Speed up your data cleaning & preprocessing with klib | Towards Data Science
Real-time risk analytics with atoti | by Anastasia V Polyakova | atoti | Aug, 2020 | Medium
Pysa: Open Source static analysis for Python code - Facebook Engineering
Data Visualization
Track COVID-19 Data Yourself with R | by Christopher Ross | Aug, 2020 | Towards Data Science
Chart-first vs Data-first approach in designing chart interfaces | by Ruban B | Aug, 2020 | UX Collective
Data-driven Products
Blocking Slack Invite Spam With Machine Learning - Slack Engineering
A New Real-Time Map-Matching Algorithm at Lyft | by Marie Douriez | Aug, 2020 | Lyft Engineering
Data Engineering Jobs
Sponsored by Xplenty and Intermix, who are sponsoring a webinar on August 20 at 12 pm Pacific:
Xforce Webinar Series: Data Stack @ WealthSimple
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