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SF Data Weekly - Six Big Data Storytelling Ideas and Pomegranate

December 11 · Issue #167 · View online
SF Data Weekly
Holidays are coming, and if you’re looking for a good read while you’re relaxing and regrouping, our pick is a good long read about data storytelling. There’s also a nice introduction to the Pomegranate statistical library, as well as a interesting way to visualize our plastic footprint. Stay healthy!

Our Pick
The Art of Data Storytelling in Six Big Ideas | by Kristi Pelzel | The Innovation | Dec, 2020 | Medium
Data Pipelines
Preparing data for ML models using AWS Glue DataBrew in a Jupyter notebook | Amazon Web Services
Xplenty | Simplified ETL & ELT to BigQuery, Snowflake, Redshift & Azure
Data Storage
AWS announces AQUA for Amazon Redshift (preview)
Controlling data lake access across multiple AWS accounts using AWS Lake Formation | Amazon Web Services
Data Analysis
Statistical modeling with “Pomegranate” —fast and intuitive | by Tirthajyoti Sarkar | Dec, 2020 | Towards Data Science
A practical guide for better-looking python code | by Oleg Polivin | Dec, 2020 | Medium
Data Visualization
My Plastic Footprint: a Physical Data Visualisation Project | by Kat Greenbrook | Nightingale | Dec, 2020 | Medium
Amazon QuickSight: 2020 in review | Amazon Web Services
Data-driven Products
Financial Times Data Platform: From zero to hero | by Mihail Petkov | FT Product & Technology | Dec, 2020 | Medium
Toward a Better Quality Metric for the Video Community | by Netflix Technology Blog | Dec, 2020 | Netflix TechBlog
Data Engineering Jobs
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