Data Engineering Podcast

Exploring The Nuances Of Building An Intential Data Culture

Mar 5 '23

Summary

The ecosystem for data professionals has matured to the point that there are a large and growing number of distinct roles. With the scope and importance of data steadily increasing it is important for organizations to ensure that everyone is aligned and operating in a positive environment. To help facilitate the nascent conversation about what constitutes an effective and productive data culture, the team at Data Council have dedicated an entire conference track to the subject. In this episode Pete Soderling and Maggie Hays join the show to explore this topic and their experience preparing for the upcoming conference.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management
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Your host is Tobias Macey and today I'm interviewing Pete Soderling and Maggie Hays about the growing importance of establishing and investing in an organization's data culture and their experience forming an entire conference track around this topic

Interview

Introduction
How did you get involved in the area of data management?
Can you describe what your working definition of "Data Culture" is?
- In what ways is a data culture distinct from an organization's corporate culture? How are they interdependent?
- What are the elements that are most impactful in forming the data culture of an organization?
What are some of the motivations that teams/companies might have in fighting against the creation and support of an explicit data culture?
- Are there any strategies that you have found helpful in counteracting those tendencies?
In terms of the conference, what are the factors that you consider when deciding how to group the different presentations into tracks or themes?
- What are the experiences that you have had personally and in community interactions that led you to elevate data culture to be it's own track?
What are the broad challenges that practitioners are facing as they develop their own understanding of what constitutes a healthy and productive data culture?
What are some of the risks that you considered when forming this track and evaluating proposals?
What are your criteria for determining whether this track is successful?
What are the most interesting, innovative, or unexpected aspects of data culture that you have encountered through developing this track?
What are the most interesting, unexpected, or challenging lessons that you have learned while working on selecting presentations for this year's event?
What do you have planned for the future of this topic at Data Council events?

Contact Info

Pete
- @petesoder on Twitter
- LinkedIn
Maggie
- LinkedIn

Parting Question

From your perspective, what is the biggest gap in the tooling or technology for data management today?

Closing Announcements

Thank you for listening! Don't forget to check out our other shows. Podcast.__init__ covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast helps you go from idea to production with machine learning.
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