Where I express personal thoughts in words
Julia Schottenstein is a Product Manager at dbt Labs, the maker of the popular open-source project dbt. Before joining dbt Labs, Julia was an investor at New Enterprise Associates, where she invested in infrastructure, developer tools, open-source, and data startups. She currently sits on the boards of Sentry and Metabase while being an active angel investor. Julia graduated from Stanford University with degrees in Computer Science and Management Science & Engineering.
I attended the Open-Source Data Stack Conference in late September 2021, the first-ever conference dedicated to building a modern data stack using open-source data solutions. The emergence of the modern data stack has seen a rapid spike in the number of data tools an organization can use to drive better decision-making. Open-source software helps you control the end-to-end flow of customer data throughout your organization to guarantee data auditability, allow data governance, support consumer data privacy, and enable productive engineer workflows.
In this blog recap, I will dissect content from the conference’s session talks, each being a building block of the open-source data stack to demonstrate how teams can build a data stack that reflects their needs.
