February 22, 2023
On this sponsored episode of the podcast, we speak with Stanimira Vlaeva, Developer Advocate at MongoDB, and Fredric Favelin, Technical Director, Associate Presales at MongoDB, about how a serverless database can decrease the gap between producing information and understanding it.
Fashionable networked functions generate a variety of information, and each enterprise needs to benefit from that information. More often than not, which means transferring manufacturing information by means of some transformation course of to get it prepared for the analytics course of. However what if you happen to might have in-app analytics? What if you happen to might generate insights immediately from manufacturing information?
On this sponsored episode of the podcast, we speak with Stanimira Vlaeva, Developer Advocate at MongoDB, and Fredric Favelin, Technical Director, Associate Presales at MongoDB, about how a serverless database can decrease the gap between producing information and understanding it.
Episode notes:
Stanimira talked so much about utilizing BigQuery with MongoDB Atlas on Google Cloud Run. If that you must talent up on these three instruments, try this tutorial.
When you’ve obtained the grasp of it, get your information related with Confluent Connetors.
With Atlas, you possibly can rework your information in JavaScript.
Join with Stanimira on LinkedIn and Twitter.
Join with Fredric on LinkedIn. Congrats to Stellar Query winner SubniC for Get identify of present script in Python.
Tags: analytics, databases, mongodb, associate content material, partnercontent, serverless, the stack overflow podcast
