MDS FEST 3.0

Data Quality Simplified

Matt Weingarten, Data Engineer, Samsara

Implementing effective data quality at scale presents challenges, especially with diverse datasets. Discover Samsara's approach to maintaining quality across their data ecosystem and learn transferable strategies for enhancing reliability in your own data environments.

Talk overview

Data Quality: a term we've all heard time and time again. Implementing effective data quality at scale can be a challenge, especially for data teams who are handling a large variety of datasets. Here's a glimpse of how we tackle it at Samsara and how I think this can be leveraged elsewhere.

TUESDAY, AUGUST 12 AT 1PM EST

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