Solving the Data Quality Problem

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 episode for a discussion with experts from Bigeye, Great Expectations, Lightup, and Metaplane.

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 solutions

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 we’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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