Table of Contents

  1. Data transformation
  2. Data testing
  3. Implementations + deployment
  4. Documentation + metadata
  5. The modern data stack
  6. Data dream teams

When metadata becomes data

Drew is the co-founder and chief product officer at Fishtown Analytics, makers of dbt. As head of product, Drew works with open source maintainers, contributors, and users to build dbt and strike fear in the hearts of database optimizers.

Barr Moses is CEO & Co-Founder of Monte Carlo, a data reliability company backed by Accel, GGV, and other top Silicon Valley investors. Previously, she was VP Customer Operations at customer success company Gainsight, where she helped scale the company 10x in revenue and among other functions, built the data & analytics team. Prior to that, she was a management consultant at Bain & Company and a research assistant at the Statistics Department at Stanford. She also served in the Israeli Air Force as a commander of an intelligence data analyst unit. Barr graduated from Stanford with a B.Sc. in Mathematical and Computational Science.

Jon Loyens is the CPO and co-founder of data.world, the cloud-native enterprise data catalog company. He’s a passionate advocate for building data-driven cultures rooted in openness and transparency. In a past life, Jon was the VP of engineering for Traveler Products at HomeAway and VP of engineering at Bazaarvoice. As a long-time technology executive in Austin, he has lived the rise in the trend of data and analytics as a democratizing force. Jon brought A/B testing and data-driven product management to Bazaarvoice and massively expanded the data programs at HomeAway.

Matt is a senior data engineer at The Zebra in Austin, TX. He has spent the last 5 years building data pipelines and analytics systems and navigating the complexity that comes with a growing data organization.

David is a Data Platform Engineer at the Bay Area grocery delivery company Good Eggs. His main interests these days center around making sense of the data we collect about our data. Outside of work, he loves mountain biking, board gaming, and his two dogs.

Originally presented on 2020-12-12

A shared understanding of how data is defined and managed provides confidence in how it's used. Metadata makes data valuable. But it also holds enormous potential for creating value in and of itself, through workflow tuning, optimization, and a variety of other performance-based use cases. In this panel, industry experts will shed some light on the different approaches to metadata management, whether there's any truth to vendor claims, and who at any organization should really care

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