SF Data Weekly - Bridgerton Colors, Redshift WLM and DS/DE Job Analysis





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August 6 · Issue #201 · View online
SF Data Weekly
Our pick this week is a unique data visualization of the colors used in the popular Netflix series Bridgerton.
We also have some good Redshift benchmarks, and an analysis of the keywords used in Data Science and Data Engineering job postings. Stay healthy!

Our Pick
100 Bridgerton Colors | Nightingale
Data Pipelines
How to evaluate the quality of a batch data pipeline | by Zach Wilson | Jul, 2021 | Medium
World Data Pipeline Championship - August 2021
Data Storage
Benchmark the performance of the new Auto WLM with adaptive concurrency in Amazon Redshift | Amazon Web Services
Data Analysis
Data scientist’s guide to efficient coding in Python | by Dr. Varshita Sher | Jul, 2021 | Towards Data Science
Google AI Blog: Mapping Africa’s Buildings with Satellite Imagery
Data Visualization
What Vaccine Appointment Data Tells Us: Three Major Takeaways from COVID-19 | by U.S. Digital Response | U.S. Digital Response | Jul, 2021 | Medium
Say Goodbye to Screenshot and Use Datapane for Data Science Report | Towards Data Science
Data-driven Products
How Windward Leverages lakeFS For Resilient Data Ingestion | by Lior Resisi | Data rocks | Jul, 2021 | Medium
How GE Healthcare modernized their data platform using a Lake House Architecture | Amazon Web Services
Data Engineering Jobs
I Analyzed 2k Data Scientist and Data Engineer Jobs and This is What I Found | by Khuyen Tran | Jul, 2021 | Towards AI
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