The Stack Overflow podcast is a weekly conversation about working in software development, learning to code, and the art and culture of computer programming. Hosted by Paul Ford and Ben Popper, the series features questions from our community, interviews with fascinating guests, and hot takes on what’s happening in tech. Founded in 2008, Stack Overflow is empowering the world to develop technology through collective knowledge. It’s best known for being the largest, most trusted online community for developers and technologists. More than 100 million people come to Stack Overflow every month to ask questions, help solve coding problems, and develop new skills.
Shorten the distance between production data and insight
Modern networked applications generate a lot of data, and every business wants to make the most of that data. Most of the time, that means moving production data through some transformation process to get it ready for the analytics process. But what if you could have in-app analytics? What if you could generate insights directly from production data?
On this sponsored episode of the podcast, we talk with Stanimira Vlaeva, Developer Advocate at MongoDB, and Fredric Favelin, Technical Director, Partner Presales at MongoDB, about how a serverless database can minimize the distance between producing data and understanding it.
Episode notes:
Stanimira talked a lot about using BigQuery with MongoDB Atlas on Google Cloud Run. If you need to skill up on these three tools, check out this tutorial.
Once you’ve got the hang of it, get your data connected with Confluent Connetors.
With Atlas, you can transform your data in JavaScript.
Connect with Stanimira on LinkedIn and Twitter.
Connect with Fredric on LinkedIn.
Congrats to Stellar Question winner SubniC for Get name of current script in Python.