Proactive Data Quality For Data-Intensive Organizations
MAD Data: An ML, AI, and Data Podcast by Databand - Un pódcast de Databand
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How do you ensure data quality when your business relies on data from a high variety of external data sources? Johannes Leppä, Sr. Data Engineer at Komodo Health, shares his insights on how a data-intensive operation can design its data infrastructure to prevent common errors and high-impact issues. Johannes offers his tips for data teams to get ahead of data errors and proactively manage data quality.
