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. 

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