All Episodes

Episode 167

December 6, 2023

with Ben Miller

 – Co-Founder and CEO, Fundrise

This week on The Data Stack Show, Eric and Kostas chat with Ben Miller, the Co-Founder and CEO of Fundrise. During the episode, Ben discusses how Fundrise democratizes investment opportunities in asset classes such as corporate real estate and venture capital. He explains how Fundrise is a data-driven company and discusses its approach to data modeling and analysis while also sharing his views on the future of data infrastructure, emphasizing the need for it to be accessible to non-technical users. The conversation also covers the role of emotions in investment decisions, the challenges of data analysis in the financial industry, and more.

Episode 166

November 29, 2023

with Pedro Pedreira

 – Software Engineer at Meta

This week on The Data Stack Show, Eric and Kostas chat with Pedro Pedreira, a Software Engineer at Meta (formerly Facebook). During the conversation, Pedro discusses the intricacies of data infrastructure and the concept of composability. He delves into the specifics of data latency, explaining the spectrum of requirements from low-latency dashboards to high-latency batch queries. Pedro also discusses the concept of vectorization in database operations and the benefits it brings. The conversation shifts to the development and usage of certain libraries and the goal of converging dialects in data computation. Don’t miss this great episode!

Episode 165

November 22, 2023

with Colin Zima

 – Co-Founder and CEO, Omni

This week on The Data Stack Show, Eric and Kostas chat with Colin Zima, the Co-Founder and CEO of Omni, a company building consistency of a shared data model with the freedom of SQL. During the episode, Colin, a former Looker employee and Co-Founder of Omni, shares insights into Looker’s impact on the data industry, its unique architecture, and the role it played in the evolution of data analytics. He also discusses the concept of an analytics engineer, the balance between governance and flexibility in data modeling, the future of business intelligence, the merging of SQL and Python, the vision for Omni, and more.