From batch scripts to real-time pipelines — every data team is somewhere on the journey of replication maturity. But where exactly does your company stand? Join us as we break down the 3 key stages of data replication maturity, based on insights from hundreds of engineering teams and real-world use cases. We’ll explore: - What defines each stage — from reactive syncs to proactive automation - Common bottlenecks in scaling, reliability, and governance - Real-world strategies to move from a “grounded explorer” to a “Data Maverick” Whether you're just starting out or looking to optimize for scale, you’ll walk away with a clear understanding of your replication maturity — and how to take the next step. 🎯 Ideal for: Data engineers, architects, and platform owners focused on data movement, pipeline resilience, and real-time enablement.