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SF Data Weekly - Jon Schwabish, Snowpark and Mito

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December 10 · Issue #219 · View online
SF Data Weekly
Our pick this week is a set of real-world lessons learned by the co-author of the “Do No Harm” data visualization guide.
We also have pieces about the powerful Milto Python library as well as Snowflake’s Snowpark developer framework. Stay Healthy!

Our Pick
Dataviz Horror Stories: Jon Schwabish | Nightingale
Data Pipelines
Introducing FugueSQL — SQL for Pandas, Spark, and Dask DataFrames | by Khuyen Tran | Dec, 2021 | Towards Data Science
Simplifying Use of External APIs with Request/Response Translators - Snowflake Blog
Win More Deals with Redshift and Salesforce | Live Demo | Xplenty
Data Storage
Announcing Amazon EMR Serverless (Preview): Run big data applications without managing servers | Amazon Web Services
Data Analysis
Mito: One of the Coolest Python Libraries You Have Ever Seen | by Ismael Araujo | Dec, 2021 | Towards Data Science
Data Visualization
Data Visualization And Data Analysis Of Coursera In Python | by Rohit Kumar Thakur | MLearning.ai | Dec, 2021 | Medium
Data-driven Products
How Spotify Uses ML to Create the Future of Personalization : Spotify Engineering
Lucerna Health uses Amazon QuickSight embedded analytics to help healthcare customers uncover new insights | Amazon Web Services
Data Engineering Jobs
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