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Broken data is costly, time-consuming, and nowadays, an all-too-common reality for even the most advanced data teams.
In this talk, I’ll 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.
I’ll share a quick start approach to achieving data observability at scale and highlight the important role of graph analytics and metadata in driving this process.
Talk+Live Q&A at the Western Auditorium in Connected Data World Center
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