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SF Data Weekly - Stolen Bikes, Predicting Churn and Pinot at Uber

This week's pick is a Tableau visualization and analysis of stolen bikes in the UK -- if you're livin
October 30 · Issue #161 · View online
SF Data Weekly
This week’s pick is a Tableau visualization and analysis of stolen bikes in the UK – if you’re living there and want to understand where you might get your bike nicked, or if you’re interested in what you can do with Tableau, this article is for you.
We also have a lengthy and detailed description of churn analysis in Python, one of the most in-depth articles that we’ve seen on that important topic, as well as a piece on Uber’s use of Pinot for OLAP on a massive scale. Stay healthy!

Our Pick
Stolen Bike Visual Analysis using Tableau | by Suhas V S | Towards AI | Oct, 2020 | Medium
Data Pipelines
Accessing external components using Amazon Redshift Lambda UDFs | Amazon Web Services
Data Pipelines Done Right | Xplenty
Data Storage
Fixing performance and latency issues on the database | Towards Data Science
Automating DBA tasks on Amazon Redshift securely using AWS IAM, AWS Lambda, Amazon EventBridge, and stored procedures | Amazon Web Services
Data Analysis
Predict Customer Churn in Python
COVID-19 Hospitalizations Are on the Rise — Here’s What You Should Know (Part 1) | by Jorge A. Caballero, MD | Oct, 2020 | Medium Coronavirus Blog | Medium Coronavirus Blog
Data Visualization
Create and Share an Interactive Map in 1 Minute | by Joe T. Santhanavanich | Oct, 2020 | Towards Data Science
Matplotlib Styles for Scientific Plotting | by Rizky Maulana N | Towards Data Science
Data-driven Products
Operating Apache Pinot @ Uber Scale | Uber Engineering Blog
Data Engineering Jobs
How should our company structure our data team? | by David Murray | Snaptravel | Oct, 2020 | Medium
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