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Data Engineering

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Shannon Smith

Move Fast and Don’t Break Things: Shipping the Simplenote MCP

When Automattic recently launched a month‑long hackathon, engineers Mark Biek and Evan Tobiesen knew exactly what they wanted to work on: the Simplenote Model Context Protocol (MCP) server. Neither Mark nor Evan works in data science, so measurement might have been the easy thing to skip. Instead, they shipped a product with built‑in measurement from…
João Amaral

Bringing Metadata to Life at Automattic with OpenMetadata

The metadata problem at scale Automattic’s data ecosystem is large and highly interconnected: thousands of Iceberg tables and views queried via Trino, thousands of Airflow tasks producing and updating them via Spark jobs, and a growing catalogue of Looker and Superset dashboards and charts on top. Most of the information about these assets exists somewhere, scattered…
Daniel Danilov

Data Talks & Conferences Recommended by Automatticians

This post highlights specific data conferences and talks recently recommended by Automatticians (employees at Automattic). Staying informed is key in the fast-evolving field of data science. At Automattic, we value continuous learning and regularly attend conferences and talks that advance our understanding and skills. This post shares a curated list of events and talks that…
Joakim Navarro

Synchronizing Data with Apache Superset: Our Internal Solution

At Automattic, our deep appreciation for open source software is evident through our active contributions, with a primary focus on WordPress. Recently, we integrated Apache Superset, to help support our intricate data visualization needs. One notable achievement includes the automation of dataset creation, a solution that not only resolved an issue but also enhanced our…
romanurbanovski

Women of Datamattic: Madison Swain-Bowden

Welcome to Women of Datamattic—conversations with some of the remarkable women working all over the world to build, maintain, and explore Automattic’s data landscape and make the web a better place. Today’s interviewee is the Data Pagan, Madison Swain-Bowden.