Maggie Hays

Community Product Manager, Acryl Data

Maggie Hays is the Community Product Manager for DataHub and part of the Founding Team at Acryl Data. She is passionate about building resources that allow data to be accessible, intuitive, and impactful for a wide spectrum of end-users so organizations can fully realize the power of data-backed decisions. Maggie is enthusiastic about providing opportunities for others to explore new technology, work collaboratively, and pursue life-long learning. You can find her regularly organizing data-focused hackathons, design sprints, mentoring programs, and more.

Maggie Hays

Sessions / 2023 / 2 talks

  • Long Tail Companions (a hypothetical pet adoption service) is in crisis– their data infrastructure has ground to a halt and they are unable to process any adoptions. In this 45 minute hands-on workshop you’ll be split into teams responsible for fixing problems in different parts of their pipeline. Each team will use DataHub to ingest data from a different platform( DBT, Looker, or Snowflake) and locate process and pipeline failures using the information supplied by other teams. Working together in DataHub, you’ll find the source of the failure, and get the adoption process moving again!

  • Do you want to expand your reach, gain credibility, and enhance the value of an open-source product & community? Whether you’re building a community around your own product or are an individual contributor looking for ways to contribute to your favorite OSS project, it’s time to focus on cross-community partnerships! In this talk, we will share the core tenants of an effective partnership, including effective co-product development & marketing, leveraging expertise within your community, measuring success, and pitfalls to avoid. You’ll walk away from this talk with a better understanding of what makes for an effective partnership and a roadmap for getting started.

Sessions / 2022 / 1 talk

  • Ever wonder what is the secret behind the productivity of data scientists and engineers at data-driven companies like LinkedIn, Airbnb, and others? The answer lies in delightful and trustworthy data discovery! In this session, Shirshanka Das and Maggie Hays walk you through one of the most popular data discovery systems in the open-source data space, DataHub. We will share how DataHub stitches together metadata from tools like dbt, Airflow, Spark, Looker, and many others to create delightful data discovery experiences at many companies like LinkedIn, Expedia, Peloton, Saxo Bank, and Wolt. After taking a peek under the hood of DataHub’s architecture, we’ll show you how to get productive with DataHub in 10 minutes or less. We will share approaches to automation that we have heard from the almost 2K strong DataHub Community, as well as strategies for sourcing and surfacing impactful metadata to fuel data discovery, modern data governance, and data observability.

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