View profile

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

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
Did you enjoy this issue?
In order to unsubscribe, click here.
If you were forwarded this newsletter and you like it, you can subscribe here.
Powered by Revue
650 California St., San Francisco, CA 94108