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SF Data Weekly - Clusters and Data Engineers vs. Scientists

April 2 · Issue #183 · View online
SF Data Weekly
Our pick this week is a cluster analysis and data visualization of Vancouver, BC restaurants. We also have another piece on clustering which uses SHAP analysis.
In addition to our usual list of interesting jobs, we have a piece that argues that Data Engineers are in more demand, and more versatile than, Data Scientists.
Stay healthy!

Our Pick
Clustering Restaurant Areas in Vancouver, British Columbia | by Warren Lee | Mar, 2021 | Medium
Data Pipelines
Build a real-time streaming application using Apache Flink Python API with Amazon Kinesis Data Analytics | Amazon Web Services
Get a Complete View of Salesforce Data with MongoDB Atlas
Data Storage
SQLite is not a toy database | Anton Zhiyanov
Introducing Auto-Tune in Amazon ES | Amazon Web Services
How to efficiently manage your BigQuery spend … And automate it
Data Analysis
KNIME:A World-Class Analytics Platform That Doesn’t Require Coding. | by Chintan Bambharoliya | Mar, 2021 | Medium
Stock Replenishment across retail locations through Inter-store inventory transfers | by Kavin Ammankattur Palaniappan | Mar, 2021 | Medium
Data Visualization
A new approach to clustering interpretation | by Veronica Nigro | Bricklane Tech | Mar, 2021 | Medium
Data-driven Products
Open sourcing Querybook, Pinterest’s collaborative big data hub | by Pinterest Engineering | Mar, 2021 | Medium
New Analytics API for researchers studying Facebook Page data - Facebook Research
Data Engineering Jobs
Why You Should Consider Being a Data Engineer Instead of a Data Scientist. | by Terence Shin | Mar, 2021 | Towards Data Science
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