SF Data Weekly - Noisy Cities, Beyond the Bar and Open Source DW





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July 8 · Issue #247 · View online
SF Data Weekly
This week’s pick is an interview with the designer of the Noisy Cities visualization.
We also have a piece on visualizations beyond the bar chart, and a discussion of open source tools for data warehousing. Stay healthy!

Our Pick
Noisy Cities: Behind the Scenes with Karim Douïeb | Nightingale
Data Pipelines
Open-Source Data Warehousing – Druid, Apache Airflow & Superset |
5 Reverse ETL Best Practices to Future-Proof Your Modern Data Stack | Integrate.io
Data Storage
Use AWS CloudWatch as a destination for Amazon Redshift Audit logs | Amazon Web Services
Data Analysis
Data Scientists Need to Know Just One Statistical Test | by Samuele Mazzanti | Jun, 2022 | Towards Data Science
What’s the Difference Between a Metric and a Loss Function? | by Cassie Kozyrkov | Jun, 2022 | Towards Data Science
Python for Data Analysis, 3E
Data Visualization
6 Hierarchical Data Visualizations | by Kruthi Krishnappa | Jul, 2022 | Towards Data Science
Beyond the Bar: Alternative Methods for Visualizing Two Points of Change | Nightingale
Data-driven Products
Twitter Sparrow tackles data storage challenges of scale
Causal Forecasting at Lyft (Part 1) | by DJ Rich | Jun, 2022 | Lyft Engineering
Data Engineering Jobs
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