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Solving the Data Quality Problem

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We talk about data quality a lot on The Data Stack Show. One guest even said “everybody has a data quality problem” and called it the next issue we have to fix. The good news? There are a lot of folks already hard at work solving the problem.

So, we brought them together! tune in to this episodeĀ for aĀ discussion with experts from Bigeye, Great Expectations, Lightup, and Metaplane.Ā 

They dive deep into data quality and cover things like:

  • Why data quality issues are so universal
  • The differences between data and software
  • What’s behind the data as product movement
  • Productizing data quality solutionsĀ 

Subscribe on your favorite platform to get notified when the episode becomes available.

Speakers

Kostas Pardalis

Group Product Manager, Starburst Data

Egor Gryaznov

Co-Founder & CTO, Bigeye

Kevin Hu

Co-Founder & CEO, Metaplane

Manu Bansal

Co-Founder & CEO, Lightup

Eric Dodds

Growth Leader, Rudderstack

About the Podcast

Each week weā€™ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

To keep up to date with our future episodes, subscribe to our podcast on Apple, Spotify, Google, or the player of your choice.

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