Data Transformers Podcast · 2021-09-01 · 29 min
Data Transformers Podcast Continuous Data Quality Monitoring with Gangesh Ganesan Play Episode Pause Episode Mute/Unmute Episode Rewind 10 Seconds 1x Fast Forward 30 seconds 00:00 / 00:29:13 Subscribe Share Apple Podcasts Google Podcasts Spotify Stitcher RSS Feed Share Link Embed Continuous Data Quality Monitoring with Gangesh Ganesan " /> Apple Podcasts Google Podcasts Spotify Stitcher Episode: Continuous Data Quality Monitoring with Gangesh Ganesan Episode Summary: Is continuous data quality monitoring a myth? Not so fast. That is according to Gangesh Ganesan, Founder & CEO of PeerNova. Traditional data quality monitoring requires data to be in a repository and data quality platforms apply certain business rules to measure the data quality. And the exceptions are referred back to the data sources/owners to fix the exceptions. PeerNova’s Cuneiform solution, with its origins in data security & networking, applies a no-code approach to solving the measurement and monitoring problem. Additionally, Gangesh talked to us about measuring the business impact of the exceptions that are identified.
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