Topic

Data Engineering

All Topics

Yanir Seroussi

Architecting ExPlat: Automattic’s New Experimentation Platform

Last month, my colleague Aaron Yan published a broad overview of Automattic’s new Experimentation Platform (ExPlat). This month, we’ll dive deeper into ExPlat’s architecture and design, explain how the landscape […]
Sirin Odrowski

Five Paths to Automattic

Greg, Anna, Anand, Anna, and Robert — who come from a variety of backgrounds ranging from fullstack software development to linguistics, hardcore math, and more — share how they came to work with data at Automattic.
Demet Dagdelen

Building Thousands of Reproducible ML Models with pipe, the Automattic Machine Learning Pipeline

Demet takes you deep into pipe, a tool that allows anyone at Automattic to build solid machine learning models.
Demet Dagdelen

Introducing pipe, The Automattic Machine Learning Pipeline

Demet gives us an overview of pipe, Automattic’s machine learning pipeline.
Carly Stambaugh

data.coalesce() — Automattic Data Division Meets in Montréal

Want to know what Automattic data wranglers do when they meet up? Carly Stambaugh takes you behind the scenes.