42 min listen
Strategies For Proactive Data Quality Management
Strategies For Proactive Data Quality Management
ratings:
Length:
61 minutes
Released:
Jul 20, 2021
Format:
Podcast episode
Description
Data quality is a concern that has been gaining attention alongside the rising importance of analytics for business success. Many solutions rely on hand-coded rules for catching known bugs, or statistical analysis of records to detect anomalies retroactively. While those are useful tools, it is far better to prevent data errors before they become an outsized issue. In this episode Gleb Mezhanskiy shares some strategies for adding quality checks at every stage of your development and deployment workflow to identify and fix problematic changes to your data before they get to production.
Released:
Jul 20, 2021
Format:
Podcast episode
Titles in the series (100)
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