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SF Data Weekly - The NFL Combine, Data Aquariums and Being Analytics Driven

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June 18 · Issue #194 · View online
SF Data Weekly
Our pick this week uses the Principal Component Analysis technique to visualize and summarize data about this year’s NFL draft prospects.
We also have a piece on transforming a homegrown data warehouse into a data aquarium, and a post that argues that being data-driven really means being analytics-driven. Stay healthy!

Our Pick
The NFL Combine in Two Dimensions | by Andrew Doss | Jun, 2021 | The Inner Join
Data Pipelines
Building a Version-Controlled Data Aquarium | by Abhinava Singh | Jun, 2021 | Benchling Engineering
PII Substitution: 4 Ways to Protect Your Sensitive Data | Xplenty
Data Storage
rqlite 6.0: the evolution of a distributed database design - Vallified
Amazon Redshift identity federation with multi-factor authentication | Amazon Web Services
Data Analysis
Don’t Be “Data-Driven.” Be Analytics-Driven. | by Robert Yi | Jun, 2021 | Towards Data Science
Three simple things about regression that every data scientist should know | by Keith McNulty | Jun, 2021 | Towards Data Science
Data Visualization
How bullet charts taught me about the importance of layering | by Kai Wong | Jun, 2021 | UX Collective
10 Examples to Master Distribution Plots with Python Seaborn | by Soner Yıldırım | Jun, 2021 | Towards Data Science
Data-driven Products
The Evolution of Data Science Workbench | Uber Engineering Blog
How Netflix uses eBPF flow logs at scale for network insight | by Netflix Technology Blog | Jun, 2021 | Netflix TechBlog
Data Engineering Jobs
Data Engineer - Levi Strauss
Applied Data Scientist - Spring Discovery
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