SF Data Weekly - BigQuery Capacity Planning, Cosmograph and Trellis





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August 26 · Issue #254 · View online
SF Data Weekly
This week’s pick is a piece on building your own pipeline to monitor and predict BigQuery usage.
We also have a piece on a visualization tool that can visualize a graph with a million nodes, and an alternative to spaghetti charts, implemented in Tableau. Stay healthy!

Our Pick
How I build a Real-time BigQuery Pipeline for Cost Saving and Capacity Planning | by Xiaoxu Gao | Aug, 2022 | Towards Data Science
Data Pipelines
Introducing AWS Glue interactive sessions for Jupyter | Amazon Web Services
10 Critical E-commerce Metrics To Track Unified Customer Insights | Integrate.io
Data Storage
GitHub - apache/doris: Apache Doris is an easy-to-use, high performance and unified analytics database.
Data Analysis
Simple random sampling: is it actually simple? | by Cassie Kozyrkov | Aug, 2022 | Towards Data Science
Layman’s Guide to Lottery Ticket Hypothesis In Neural Network | by Joshua Raj | Aug, 2022 | Medium
An Effective Personal Jupyter Data Science Workflow – Win Vector LLC
Data Visualization
How to Visualize a Graph with a Million Nodes | Nightingale
Spaghetti Charts Suggested Alternative: A Trellis Chart | by Nir Smilga | Aug, 2022 | Medium
Data-driven Products
How Fannie Mae built a data mesh architecture to enable self-service using Amazon Redshift data sharing | Amazon Web Services
Data Engineering Jobs
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