1 ML OPS: Erik Munkby

Distribute ML Models with ease utilizing Fast API. An attempt to reduce the distance from model building to deployed ML product.

2 COWAIT: Johan Henriksson

Cowait is an attempt to create a novel approach for writing Kubernetes batch jobs in Python. The talk will include a quick overview of what it is, the rationale behind it and what we learned along the way.

3 Domain Driven Design + Data -> Insights?: Johnny Dang

Data is seldom generated in a way that caters to conducive data analysis. Domain Driven Design may change this although it comes with its own costs.

About Data Alliance

We believe that all views are equally important in our world, regardless if you’re a data engineer working your way through an obscure data model, a software engineer helping your fellow colleague understand the data generated from your application, or a product owner viewing product metrics. We therefore want to gather everyone into the Data Alliance to share their past and current struggles and/or solutions, no matter if they were successful or not. These experiences will spark illuminating discussions for everyone involved, especially the presenter.

Format:

A few presentations à 10-20 min and an open discussion with the audience after each one. There will be time for food and mingle somewhere in the middle of the event. 

Do you want to present something at a future gathering? Please reach out to us at hej@datadao.se and we’ll find a time slot for you.