Axios launched in 2017 as a news organisation with the mission ‘Smart Brevity.’ This piece is an interview with the team, including their commentary on examples of their work.

Regular expressions are a key element of many homegrown data pipelines. PRegEx replaces complex regex symbols with easier-to-understand text.

How to use Redshift as a data ingestion and ETL engine for data stored in S3.

See how Google BigQuery and Integrate.io work together—and how Xenon Partners uses both technologies to power their web and sales funnel analytics. [Sponsored]

Why data scientists should use Parquet instead of CSV to store files.

Data quality issue root causes are as diverse as human error and overcoming data silos. Creating a robust strategy that addresses all these root causes is the key to improving data quality.

Statically typed syntax and optional hints in Python 3.10 for Data Science.

The Automattic systems team manages over 10,000 physical servers located across 30 data centers on 6 continents. Their new servers have more aggressive thermal throttling, so they used Grafana and Prometheus to visualize server temps to address any overheating issues.

A review of Uber’s ML education related to Content Components, Content Delivery, Observability, and Marketing & Reach.

Realtime processing technologies (A.K.A stream processing) is one

One data visualization expert’s career path, and how it would change given today’s job market.

Visualization skills, plus the ability to go back to the data and deal with unorthodox forms of data are three key skills for data scientists.

Here are this week’s job picks:

Director of Loyalty Analytics - Albertsons

Data Engineer - Denodo

Staff Data Scientists - Intuit