To keep pace with data’s clock speed of innovation, data engineers need to invest not only in the latest modeling and analytics tools, but also technologies that can increase data accuracy and prevent broken pipelines. The solution? Data observability, the next frontier of data engineering. I'll discuss why data observability and lineage matter to building a better data quality strategy and tactics best-in-class organizations use to address it -- including org structure, culture, and technology.
Barr Moses is currently CEO and co-founder of a company called Monte Carlo, a company that is centralized around trying to help enterprises. Monte Carlo does this by working with other enterprises to increase trust in their data by reducing data downtime. In this talk Barr will be introducing what data downtime is and how it is an issue further down the line and why it matters. #knowledgegraphs #knowledgegraphconference #knowledgegraphdatascience #knowledgegraphdatabase #knowledgegraphsinindustry