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SF Data Weekly - Data Engineer Types, Oversimplification and Supply Chain

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November 18 · Issue #266 · View online
SF Data Weekly
Our pick this week is an examination of the different types of data engineers.
We also have a piece on the dangers of oversimplifying data visualizations, and the right analytics and visualizations for supply chains. Stay healthy!

Our Pick
Different Types Of “Data Engineering” Teams | by Ben Rogojan | SeattleDataGuy By SeattleDataGuy | Nov, 2022 | Medium
Data Pipelines
Reduce cost and improve query performance with Amazon Athena Query Result Reuse | Amazon Web Services
Creating a Microsoft SQL Server API in Less Than 5 minutes with DreamFactory
Data Storage
Field-level security in Amazon OpenSearch Service | Amazon Web Services
Data Analysis
Command-line data analytics made easy | Towards Data Science
How to find the cause of an anomaly in a multi-valued segment | by DV Engineering | DoubleVerify Engineering | Nov, 2022 | Medium
Data Visualization
When Oversimplification Obscures | Nightingale
4 Smart Visualizations for Supply Chain Descriptive Analytics | by Samir Saci | Nov, 2022 | Towards Data Science
The 10 Best Data Visualizations of 2022 | by Terence Shin | Oct, 2022 | Towards Data Science
Data-driven Products
Tulip: Schematizing Meta’s data platform - Engineering at Meta
How Kyligence Cloud uses Amazon EMR Serverless to simplify OLAP | Amazon Web Services
Data Engineering Jobs
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