Broken data is costly, time-consuming, and nowadays, an all-too-common reality for even the most advanced data teams. In this talk, we will introduce this problem, called “data downtime” — periods of time when data is partial, erroneous, missing or otherwise inaccurate — and discuss how to eliminate it in your data ecosystem with end-to-end data observability.
Drawing corollaries to application observability in software engineering, data observability is a critical component of the modern DataOps workflow and the key to ensuring data trust at scale.
Join **Jon So the Head of Product Marketing at Monte Carlo and Katie Noonan the Support Engineer at Monte Carlo**, as they share why data observability matters when it comes to building a better data quality strategy and highlight tactics you can use to address it today.
Registration is [FREE](https://info.datascience.salon/how-to-eliminate-data-downtime-start-trusting-your-data)!