Table of Contents

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

The future of the data warehouse

Jennifer Li is a partner at Andreessen Horowitz, focused on enterprise investments in data infrastructure and analytics, open source, developer tools and collaboration applications.

Boris is the founder of Census, which helps data teams sync customer data & insights to external systems to drive business operations workflows. Before Census, he was the CEO of Meldium, a password manager for teams and worked on Microsoft Visual Studio. He loves building tools.

Jeremy is the CEO and Cofounder of Indicative, a Customer Analytics platform for product and marketing teams. He is a serial entrepreneur and a veteran of New York City’s Silicon Alley. Jeremy cofounded Xtify, the first Mobile CRM for the Enterprise, acquired by IBM in 2013. He also cofounded MeetMoi, a pioneering location-based dating service for mobile sold to Match.com in 2014.

Arjun was previously an engineer at Cockroach Labs. Arjun holds a Ph.D in Computer Science from the University of Pennsylvania.

Originally presented on 2020-12-11

Almost all of us are using our data warehouse to power our business intelligence. But what if we could use data warehouses do even more — to power internal tooling, machine learning, behavioral analytics, or even customer-facing products? Is this a future we're heading for, and if so, how do we get there?

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