Evolution of Data Teams and Modern Data Stack

2min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

The modern data stack shifted towards cloud-based SaaS software, simplifying data pipelines and facilitating easy data sharing between tools and teams. Data teams evolved from traditional data science and business intelligence teams to analytics teams focused on helping make better decisions through analysis. This change led to the development of various tools tailored to different team workflows and objectives.

Benn Stancil’s weekly Substack on data and technology provides a fascinating perspective on the modern data stack & the industry building it. On this episode, Benn joins Jerod to dissect a few of his essays, discuss opportunities he sees during this slowdown & explain why he thinks maybe we should disband the analytics team.

Leave us a comment

Changelog++ members save 13 minutes on this episode because they made the ads disappear. Join today!

Sponsors:

Cronitor – Cronitor helps you understand your cron jobs. Capture the status, metrics, and output from every cron job and background process. Name and organize each job, and ensure the right people are alerted when something goes wrong.
Retool – The low-code platform for developers to build internal tools — Some of the best teams out there trust Retool…Brex, Coinbase, Plaid, Doordash, LegalGenius, Amazon, Allbirds, Peloton, and so many more – the developers at these teams trust Retool as the platform to build their internal tools. Try it free at retool.com/changelog
Neon – Fleets of Postgres! Enterprises use Neon to operate hundreds of thousands of Postgres databases: Automated, instant provisioning of the world’s most popular database.

Featuring: