ML Talk: A Python Micro-framework for Data Engineering

Register here to receive joining link: https://www.aicamp.ai/event/eventdetails/W2022051110

Description:
At Stitch Fix, we have 130+ “Full Stack Data Scientists” who, in addition to doing data science work, are also expected to engineer and own data pipelines for their production models. One data science team, the Forecasting, Estimation, and Demand team, was in a bind. Their feature generation process was causing them iteration & operational frustrations in delivering time-series forecasts for the business.

In this talk I’ll present Hamilton, a novel open source Python micro framework, that solved their pain points by changing their working paradigm. Specifically, Hamilton enables a simpler paradigm for Data Science & Data Engineering teams to create, maintain, execute, and scale code for feature/data transforms, especially when there is a chain of them. Hamilton does this by building a DAG of dependencies directly from Python functions.

Tune in to hear what Hamilton is, what it looks like to use it, what benefits it provides, and where it is going.

Lucky draw prizes
We will raffle 5 winners for the book during the event (Data Engineering with Python).

More events up coming (free join from anywhere):
🔷 May 3, Webinar: Natural Language Search for 2D and 3D Training Data
🔷 May 5, Webinar: StarRocks vs ClickHouse, Apache Druid and Trino
🔷 May 11, Webinar: A Python Micro-framework for Data Engineering
🔷 May 18, Conference: ML Data Engineering Conference
🔷 May 19, Webinar: Deliver Self-Service BI at Enterprise-Scale
🔷 May 24, Conference: Chief Data & Analytics Officers, Insurance (NYC)