Proactive Data Quality For Data-Intensive Organizations

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.

Om Podcasten

It’s a mad world out there, and we’re not referring to the global headlines. Machine learning, AI, and data now steer every company's decision-making – whether big or small. Enter the MAD Data podcast. Every month, we talk to experts like you who use machine learning, AI, and data to transform their businesses. So join us as we highlight the stories that shape the fields of data engineering, science, and analytics both for today and the future. MAD Data podcast is brought to you by Databand, the data industry's 1st proactive data observability platform.