SF Data Weekly - ProAm, GPU Pipelines and Vertical Line Charts

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July 1 · Issue #246 · View online
SF Data Weekly
Our pick this week is a piece by Google’s Chief Decision Scientist, elaborating the difference between professional and amateur analysts.
We also have a post on using GPU-driven data pipelines, and one on whether vertical line charts are ever worth using. Stay healthy!

Our Pick
10 Differences Between Amateurs and Professional Analysts | by Cassie Kozyrkov | Jun, 2022 | Towards Data Science
Data Pipelines
GPU-Accelerated Data Loading With DALI, Part 2: Pipelines and Data Loaders | by Borna Ahmadzadeh | Jun, 2022 | DataDrivenInvestor
11 API Trends to Watch for in 2022 | DreamFactory Software
Data Storage
Create cross-account, custom Amazon Managed Grafana dashboards for Amazon Redshift | Amazon Web Services
GitHub - dolthub/dolt: Dolt – It's Git for Data
Data Analysis
Some Of The Most Important SQL Commands | Towards Data Science
Crash-Course: P-Value, Statistical Significance, and Confidence Level | by Stefan Pircalabu | Jun, 2022 | Medium
Data Visualization
Are Vertical Line Charts Ever a Good Idea? | Nightingale
The Battle of Choropleths — Part 3 — Folium | by Francis Adrian Viernes | Jun, 2022 | Towards Data Science
Data-driven Products
T-LEAF: Taxonomy Learning and EvaluAtion Framework | by Cen(Mia) Zhao | The Airbnb Tech Blog | Jun, 2022 | Medium
Causal Forecasting at Lyft (Part 1) | by DJ Rich | Jun, 2022 | Lyft Engineering
Data Engineering Jobs
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