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| May 27 · Issue #241 · View online |
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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!
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Analytical Excellence Is All about Speed | by Cassie Kozyrkov | May, 2022 | Towards Data Science
“Don’t misinterpret this to mean that analysts are good at running around like headless chickens, bumping into insights through some kind of bumbling Brownian motion. The excellence of speed is much deeper and more nuanced.‘
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Power BI: Combining data from different sources | by Swaathi Sundaramurugan | May, 2022 | Medium
Two simple strategies for combining data using Microsoft Power BI.
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The Complete Guide to E-Commerce Data Security | Integrate.io
Your customers are trusting you with valuable information. Whether your clients are small or enterprise, you need to safeguard their information. Here’s how. {Sponsored]
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Use Amazon Redshift RA3 with managed storage in your modern data architecture | Amazon Web Services
A full overview of the different kinds of storage available in the Redshift R3 instance type.
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Useful Python Decorators for Data Scientists
Decorators are syntactic sugar that have a number of applications for data science code, such as defining parallelization or having sections of code that only run in production or development environments This piece has those examples and more.
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How to create Angular Data Analytics with pivot grid and charts dashboard | by Yuliia Nikitina | Frontend Weekly | May, 2022 | Medium
Angular is still one of the most popular JavaScript frameworks in the world. This piece walks through the creation of a dashboard using Flexmonster and Fusion Charts.
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Tips and tricks for high-performant dashboards in Amazon QuickSight | Amazon Web Services
A deep dive into a number of QuickSight components, with advice on how to render them quickly.
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Lessons Learned From Running Apache Airflow at Scale — Data Science & Engineering (2022)
Shopify shares some of the lessons learned and solutions built in order to run Airflow at scale.
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Scaling data access by moving an exabyte of data to Google Cloud
How Twitter migrated an exabyte of data to Google Cloud to make it easier for employees to analyze and visualize data.
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How Airbnb Built “Wall” to prevent data bugs | by Subrata Biswas | The Airbnb Tech Blog | Medium
How Airbnb gained trust in data via extensive quality, accuracy and anomaly checks.
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Does communication matter in technical interviews? We looked at over 100K interviews to find out. - interviewing.io blog
The author looked at the outcomes of over 100K interviews, and it turns out that, well, talk is cheap. Here are this week’s job picks:
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