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SF Data Weekly - The future of Data Engineering, Eventarc and Beam

October 29 · Issue #213 · View online
SF Data Weekly
Our pick this week is an interview with the author of Apache Airflow, one of the first data engineers at Facebook and Airbnb, on the future of data engineering.
We also have pieces on predictive data modeling, Google’s Eventarc event processing system, Apache Beam, and early Soviet data visualization. Stay healthy!

Our Pick
The Future of the Data Engineer. Is the data engineer still the “worst… | by Barr Moses | Oct, 2021 | Towards Data Science
Data Pipelines
A closer look at locations in Eventarc | Google Cloud Blog
Data Pipelines with Apache Beam. How to implement Data Pipelines with… | by Pınar Ersoy | Oct, 2021 | Towards Data Science
6 reasons why chose FlyData over Fivetran | FlyData
Data Storage
Compare different node types for your workload using Amazon Redshift | Amazon Web Services
Automate Amazon Redshift Cluster management operations using AWS CloudFormation | Amazon Web Services
Data Analysis
6 Predictive Models Every Beginner Data Scientist should Master | by Ivo Bernardo | Oct, 2021 | Towards Data Science
Stop Using Pandas to Read/Write Data — This Alternative is 7 Times Faster | by Dario Radečić | Oct, 2021 | Towards Data Science
Data Visualization
The 10 Best Data Visualizations of 2021 | by Terence Shin | Oct, 2021 | Towards Data Science
Analytics of Avant-Garde: How Soviet Artists Designed Data | Nightingale
Data-driven Products
Coca-Cola Bottlers Japan collects insights from 700,000 vending machines with Vertex AI | Google Cloud Blog
Q&A with Dimitrios Skarlatos, visiting scientist at Facebook and assistant professor at Carnegie Mellon University - Facebook Research
Data Engineering Jobs
Data Engineer - EveryDay Labs
BI Engineer - DoorDash
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