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SF Data Weekly - A New Lipstick Index and Analysis and Visualization of a Debate

Our pick this week looks at replacements for the Lipstick Index, a once-famous indicator of spending
October 9 · Issue #158 · View online
SF Data Weekly
Our pick this week looks at replacements for the Lipstick Index, a once-famous indicator of spending during economic downturns, now that COVID has made lipstick obsolete.
We also have a couple of different data-based takes on the first Presidential debate, and a slew of AWS data pipeline pieces. Stay healthy!

Our Pick
The Skincare Index: A Lipstick Index for the Times of Covid | by Elena Marocco | The Startup | Oct, 2020 | Medium
Data Pipelines
Normalize data with Amazon Elasticsearch Service ingest pipelines | Amazon Web Services
Unified serverless streaming ETL architecture with Amazon Kinesis Data Analytics | Amazon Web Services
Data Storage
How to Solve the “You’re Using THAT Table?!” Problem | by Barr Moses | Oct, 2020 | Towards Data Science
Become a BigQuery Power User. 5 tips to help you put this beast to… | by Dewald Abrie | The Startup | Sep, 2020 | Medium
Data Analysis
1st Presidential Debate: By the Numbers | by Theo Goe | Oct, 2020 | Towards Data Science
Data Visualization
Visualization of networks related to the presidential debate. | by Soumyadeep Basu | Oct, 2020 | Medium
Beautiful correlation plots in R — a new approach | by Stefan Haring | Oct, 2020 | Towards Data Science
Data-driven Products
Keeping your data pipelines healthy with the Great Expectations GitHub Action - The GitHub Blog
Data Engineering Jobs
Connect Salesforce and Redshift with Xplenty
Xplenty Data Pipelines Overview | Salesforce Data to Amazon Redshift
Xplenty is an ETL solution with a visual interface that has a bi-directional connection to Salesforce. This video is a short demonstration of moving data from Salesforce to Amazon Redshift, and it shows how Xplenty can quickly and easily transfer Salesforce data into your Redshift data warehouse.
Intermix - build better data products with analytics into your data warehouse. Complete visibility into your data platform, who is touching your data, and how it’s being used.

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