Data Consistency in Distributed Systems: Lessons Learned from End Users
** Seats are limited, and registration is required. Please sign up ASAP! **
** Online viewing instructions below **
How to find us: Room EL265. You can walk down the hallway to the back to check in, then go upstairs.
Agenda:
6:00-6:30 - Pizza and Networking
6:30-7:00 - PingCAP - Matthew Penaroza, Solutions Engineer
7:00-7:30 - Scalar Labs - Joe McCunney, CEO
7:30-8:00 - Google - John Basmadjian, Senior Engineering Director
8:00-8:30 - Q&A + Networking
Theme:
Distributed systems are a cornerstone of modern software architecture – they can process vast datasets, manage extensive user bases, and scale quickly. But they also come with very real-world challenges. Inconsistent data, particularly, can lead to flawed analytics, compliance issues, misguided decisions, and diminished trust in automated and AI systems. Learn how companies like Databricks, LinkedIn, Toyota, and Google ensure data consistency and integrity without compromising the needs of transactional, analytical, or AI applications.
If you'd like to join us online instead, register here: