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SF Data Weekly - New Mum Dataviz, BigQuery Multiproc and ETL at Weatherbug

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October 15 · Issue #211 · View online
SF Data Weekly
This week’s pick is a humorous data visualization of the experiences a new mum faces, including tears, tummy time and advice.
We also have a piece on multiprocessing to speed up BigQuery data retrieval, and deep dive into Weatherbug’s use of Spectrum to decrease ETL latency. Stay Healthy!

Our Pick
How I Survived Being a New Mum Using My Dataviz Goggles | Nightingale
Data Pipelines
BigQuery fetching + multiprocessing | by Tristan Bilot | Oct, 2021 | Towards Data Science
The fastest real-time data replication on the market | FlyData
Data Storage
How To Build a Robust Data Infrastructure | *instinctools
Automate your Amazon Redshift performance tuning with automatic table optimization | Amazon Web Services
Data Analysis
Why You Should Rethink Where You Write Your SQL | by Robert Yi | Oct, 2021 | Towards Data Science
Understanding Python imports, __init__.py and pythonpath — once and for all | by Dr. Varshita Sher | Oct, 2021 | Towards Data Science
Data Visualization
Big Data Visualization Using Datashader in Python | by Sophia Yang | Oct, 2021 | Towards Data Science
Visualize data on a Choropleth map with Geopandas and Matplotlib | by Aindriya Barua (She/They) | Oct, 2021 | Medium
Data-driven Products
WeatherBug reduced ETL latency to 30 times faster using Amazon Redshift Spectrum | Amazon Web Services
Data Engineering Jobs
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