Jan. 21, 2022, 1:33 p.m. | Luca Bigon

Towards Data Science - Medium towardsdatascience.com

DOING ML EFFECTIVELY AT STARTUP SCALE

Replyable data processing and ingestion at scale with serverless, Snowflake and dbt

MLOps without too much Ops — Episode 4, feat. Jacopo Tagliabue, Ciro Greco and Andrea Polonioli

Introduction

As we discussed in the previous episodes, data is an integral part of ML pipelines: following the data-centric approach and then generalizing a bit, we may say that a sound pipeline for a data company is composed of two main blocks, dataOps (ingestion, …

data dataops dbt mlops mlops-without-much-ops snowflake

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Analytics & Insight Specialist, Customer Success

@ Fortinet | Ottawa, ON, Canada

Account Director, ChatGPT Enterprise - Majors

@ OpenAI | Remote - Paris