SF Data Weekly -Saving Humanity, TinyML and Encyclopedic Data Art

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February 18 · Issue #227 · View online
SF Data Weekly
Our pick this week is a piece sharing three historical examples of data visualization saving humanity.
We also have an intro to TinyML and an interesting overview of algorithms used to illustrate a new edition of a centuries-old encyclopedia. Stay healthy!

Our Pick
3 historical instances in which Data Visualization saved humanity | by Mala Deep | Feb, 2022 | UX Collective
Data Pipelines
Introduction to Power BI Dataflows - DataChant
Learn How to Eliminate Slow Order Fulfilments and Manual Data Syncs | Integrate.io
Data Storage
Amazon Redshift at AWS re:Invent 2021 recap | Amazon Web Services
GitHub - ariga/atlas: A database toolkit
Data Analysis
Adios Pandas! Process Big Data in a Flash using Terality, Dask, or PySpark | by Data Miners | SFU Professional Computer Science | Feb, 2022 | Medium
TinyML: Micro Footprint, Macro Impact | by Priyankamanam | SFU Professional Computer Science | Feb, 2022 | Medium
Terrific Data Scientist Found Unconscious After Deploying the Model Without MLOps | by GALV | SFU Professional Computer Science | Feb, 2022 | Medium
Data Visualization
A dashin’ plot: Beginner’s guide to Plotly & Dash | by Data Knyts | SFU Professional Computer Science | Feb, 2022 | Medium
Encyclopedic Data Art | Nightingale
Data-driven Products
Building Self-driving Kafka clusters using open source components - Slack Engineering
Next generation data insights using natural language queries
Data Engineering Jobs
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