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SF Data Weekly - Benford's Law, Pulsar and Earworms

November 20 · Issue #164 · View online
SF Data Weekly
This week’s pick is an application of Benford’s law to assess the accuracy of COVID-19 data. We also have a look at Pulsar, an alternative to Kafka, and an explanation of how Google figures out your earworms by listening to you hum. Stay healthy!

Our Pick
I used Benford’s law to analyze COVID-19 in 113 countries | by Kevin Basset | Nov, 2020 | Medium
Data Pipelines
Pulsar Advantages Over Kafka. Why you should consider Pulsar over… | by Javier Ramos | Nov, 2020 | ITNEXT
Xplenty | Simplified ETL & ELT to BigQuery, Snowflake, Redshift & Azure
Data Storage
Amazon Redshift announces automatic refresh and query rewrite for materialized views
Data Analysis
A Curated List of 57 Amazing GitHub Repositories for Every Python Developer | by Angelica Dietzel | Better Programming | Nov, 2020 | Medium
What Is a Tracking Plan and Why Do You Need One? | by Avo | Nov, 2020 | Medium
Data Visualization
Advanced dashboard design: Get more out of Google Data Studio | by datadice | Nov, 2020 | Medium
A Single Python Function Generating A Gorgeous Bar Chart Race Video | by Christopher Tao | Nov, 2020 | Towards Data Science
Dasymetric Spatial Interpolation in BigQuery | by Mathias Schläffer | Nov, 2020 | Medium
Data-driven Products
Turning Metadata Into Insights with Databook | Uber Engineering Blog
Google AI Blog: The Machine Learning Behind Hum to Search
Data Engineering Jobs
What you should have on your Data Scientist Resume (Especially in the Pandemic time) | by Cornellius Yudha Wijaya | Nov, 2020 | Towards Data Science
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