#Python #data

Python + Upsolver: Simplified Realtime Data Workflows

Notes

One of the powerful things about Python is its ability to connect disparate tools into one common integrated development experience. In this talk, we’ll explore how to create and run a near real-time pipeline where we consume events from a Kafka topic and transform the data before landing them in the lake, using Upsolver through our Python SDK. In this way, we get exactly-once processing, strong ordering and automatic schema evolution out of the box thanks to the powerful Upsolver engine, but without having to switch to a different UI and building in SQL only.

Newer

  • #Python
  • #Django
  • #models
  • #graphviz
  • #admin

First Major Model - Building SaaS #163

In this episode, we got to work on the core modeling for the application. I started by adding some visualization tooling to see the models in the system, then got to modeling of the primary …

Older

  • #Python
  • #Django
  • #SaaS
  • #email
  • #templates
  • #testing
  • #CI

Finish Signup and CI - Building SaaS #162

In this episode, I continued on the signup flows that started in the previous stream. We configured the email backend and verified that the end to end signup flow worked. Then I set up the …