How To Eliminate Data Downtime & Start Trusting Your Data

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!