Scaling Data Reliably: A Journey in Growing Through Data Pain Points

Explore the fascinating realm of Data Reliability Engineering in this 20-minute conference talk, drawing parallels from Site Reliability Engineering (SRE). Dive into real-world reliability scenarios and crucial topics such as data downtime, data service level metrics, and data monitoring. Discover strategies to reduce data downtime, harness metadata for preventive practices, and efficiently identify system failures. Gain valuable tools and practices for building robust data systems, tailored for Data Scientists, Data Engineers, and AI practitioners. Speaker Miriah Peterson, a Software Engineer at MX, shares insights from her experience in scaling data reliably and navigating through data pain points.

Scaling Data Reliably: a Journey in Growing Through Data Pain Points