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!

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.

This week on The Data Stack Show, Eric and Kostas chat with Travis Henry and Hillary Carpio of Snowflake. Travis works as the Director of SDR Operations while Hillary is Head of ABM. During the episode, Travis and Hillary discuss the importance of data in their marketing and sales strategies. They delve into the types of data they use, the challenges of data overload and the importance of a strong partnership between marketing and data teams. They also share their experience of writing a book about their unique approach at Snowflake. The conversation further explores the role of sales and marketing in targeting different personas within an organization, and more.