Data is an open environment, and even the best code will break regularly due to upstream schema changes, flaky APIs, and poorly structured data. By embracing the reality of failure as a given, we can proactively architect our systems to minimize the impact of disruptions and ensure the continuity of our data operations. Attendees will learn practical techniques for anticipating specific failure modes and building resilient systems that can recover while minimizing the cost of problems.
Speaker
Chris White
CTO & Co-Founder - Prefect
Chris is a mathematician turned machine learning engineer, passionate about building data-intensive tools which expose the right abstractions. Prior to Prefect and his time as a Data Scientist at Capital One, Chris received a Ph.D. in Mathematics from The University of Texas at Austin. Chris lives with his wife and his dog, Willy, in Northern California and spends as much time in the ocean as possible outside of Prefect.
