SF Data Weekly - All About Speed, Decorators and Interview Stats

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May 27 · Issue #241 · View online
SF Data Weekly
Our pick this week argues that speed is the key to being a good analyst.
We also have pieces on the use of Python decorators and some interesting statistics on the real value of communications skills in interviews. Stay Healthy!

Our Pick
Analytical Excellence Is All about Speed | by Cassie Kozyrkov | May, 2022 | Towards Data Science
Data Pipelines
Power BI: Combining data from different sources | by Swaathi Sundaramurugan | May, 2022 | Medium
The Complete Guide to E-Commerce Data Security | Integrate.io
Data Storage
Use Amazon Redshift RA3 with managed storage in your modern data architecture | Amazon Web Services
Data Analysis
Useful Python Decorators for Data Scientists
Data Visualization
How to create Angular Data Analytics with pivot grid and charts dashboard | by Yuliia Nikitina | Frontend Weekly | May, 2022 | Medium
Tips and tricks for high-performant dashboards in Amazon QuickSight | Amazon Web Services
Data-driven Products
Lessons Learned From Running Apache Airflow at Scale — Data Science & Engineering (2022)
Scaling data access by moving an exabyte of data to Google Cloud
How Airbnb Built “Wall” to prevent data bugs | by Subrata Biswas | The Airbnb Tech Blog | Medium
Data Engineering Jobs
Does communication matter in technical interviews? We looked at over 100K interviews to find out. - interviewing.io blog
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