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SF Data Weekly -Earth Angles and Replacing Histograms

January 29 · Issue #174 · View online
SF Data Weekly
Our pick this week is a little off beat – it’s an examination of the history of satellite imagery and how different angles affect the visual cues that help us understand what’s going on in a given image.
We also have interesting pieces on AWS data lake houses, Redshift, and six problems with histograms. Stay healthy!

Our Pick
Earth at a Cute Angle. Satellite imagery surrounds us — from… | by Robert Simmon | Nightingale | Jan, 2021 | Medium
Data Pipelines
The End of ETL As We Know It. If you’re as sick of this three-letter… | by Paul Singman | Whispering Data | Jan, 2021 | Medium
Xplenty | Simplified ETL & ELT to BigQuery, Snowflake, Redshift & Azure
Data Storage
Building a cost efficient, petabyte-scale lake house with Amazon S3 lifecycle rules and Amazon Redshift Spectrum: Part 1 | Amazon Web Services
Amazon Redshift 2020 year in review | Amazon Web Services
Data Analysis
How to Make Informed Product Decisions Through Cohort Analysis | by Nikhil Parmar | GVCdium | Jan, 2021 | Medium
Fully Explained K-means Clustering with Python | by Amit Chauhan | Towards AI | Jan, 2021 | Medium
Data Visualization
6 Reasons Why You Should Stop Using Histograms (and Which Plot You Should Use Instead) | by Samuele Mazzanti | Jan, 2021 | Towards Data Science
What Would Have Been. Visualizing Christmas traditions | by Helena Klara Jambor | Nightingale | Jan, 2021 | Medium
Data-driven Products
Why we chose Apache Superset as our data exploration platform - Dropbox
Uber's Real-time Data Intelligence Platform At Scale: Improving Gairos Scalability/Reliability | Uber Engineering Blog
Data Engineering Jobs
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