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SF Data Weekly - Data graveyards, choppiness and bivariate glyphs

May 7 · Issue #188 · View online
SF Data Weekly
This week’s pick is about dashboards – since they report on current status and users act on change, not just status, how should we change our thinking about this widely used data visualization?
We also have a piece on analyzing the choppiness of your data, as well as an interesting COVID visualization using glyphs. Stay healthy!

Our Pick
Dashboards are a powerful tool that you probably shouldn’t try to make | by Kai Wong | May, 2021 | UX Collective
Data Pipelines
Xplenty | Simplified ETL for Flat File Ingestion & Transformation
Data Storage
The Solo Career of Hive Metastore | by Felipe Miquelim | QuintoAndar Tech Blog | May, 2021 | Medium
Scheduling Cloud Bigtable Backups | Google Cloud Blog
Amazon Redshift announces general availability of support for JSON and semi-structured data processing | Amazon Web Services
Data Analysis
Practical SQL for Data Analysis | Haki Benita
The Choppiness Index — Detecting Trends & Sideways. A Study in Python. | by Sofien Kaabar | Geek Culture | May, 2021 | Medium
Analyzing petabytes of trade and quote data with Amazon FinSpace | Amazon Web Services
Data Visualization
Rising or Falling? Leveraging Bivariate Glyphs to Visualize Trend Changes | by Lucy McLaughlin | Nightingale | Apr, 2021 | Medium
Radar Chart — Why is it on my radar? | by Elad Gvirtz | May, 2021 | Medium
Data-driven Products
How Airbnb Achieved Metric Consistency at Scale | by Robert Chang | Airbnb Engineering & Data Science | Apr, 2021 | Medium
Fusing Elasticsearch with neural networks to identify data
Data Engineering Jobs
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