In this panel discussion, Emily Gorcenski, Amy Tobey, and Alex Hidalgo explore the application of reliability engineering practices to data. They discuss the concept of data mesh, the challenges of natural boundaries in data pipelines, the importance of data ownership and cloud principles, and the complexities of bringing Site Reliability Engineering theory to the data space. They also touch on the positive shift in enterprise mindset, the need for change in ticket closure, and the significance of observability in the data space.
