This talk was recorded at Crunch Conference 2022. Maggie and John from Acryl Data company data swamp to data swimming pool: cleaning up the mess with modern data governance.

"In this talk, we will present a practical approach to supercharging your data governance initiative by surfacing and leveraging metadata readily available within your data ecosystem."

The event was organized by Crafthub.

You can watch the rest of the conference talks on our channel.

If you are interested in more speakers, tickets and details of the conference, check out our website: https://crunchconf.com/ If you are interested in more events from our company: https://crafthub.events/

ABOUT THE TALK: Do you want to expand your reach, gain credibility, and enhance the value of an open-source product & community? Whether you’re building a community around your own product or are an individual contributor looking for ways to contribute to your favorite OSS project, it’s time to focus on cross-community partnerships!

In this talk, Kyle Eaton and Maggie Hays detail the core tenants of an effective partnership, including effective co-product development & marketing, leveraging expertise within your community, measuring success, and pitfalls to avoid. Learn what makes for an effective partnership and a roadmap for getting started.

ABOUT THE SPEAKERS: Kyle Eaton is the Growth Lead at Great Expectations. While at Great Expectations, Kyle scaled the Great Expectations community from 0 to 9000+ Slack users, pioneered the Developer Relations team, and led the initiative for data ecosystem partnerships. Prior to Great Expectations, Kyle has played the role of Lead UX Designer in health care, finance, and travel for just nearly a decade.

Maggie Hays is the Community Product Manager for DataHub and part of the Founding Team at Acryl Data. She is passionate about building resources that allow data to be accessible, intuitive, and impactful for a wide spectrum of end-users so organizations can fully realize the power of data-backed decisions.

ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.

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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 Hey there podcast listener, are you tired of dealing with the headache that is the 'Modern Data Stack'? We feel your pain. It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. It ends up being anything but that. Setting it up, integrating it, maintaining it—it’s all kind of a nightmare. And let's not even get started on all the extra tools you have to buy to get it to do its thing. But don't worry, there is a better way. TimeXtender takes a holistic approach to data integration that focuses on agility rather than fragmentation. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. If you're fed up with the 'Modern Data Stack', give TimeXtender a try. Head over to dataengineeringpodcast.com/timextender where you can do two things: watch us build a data estate in 15 minutes and start for free today. 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. Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes. If you've learned something or tried out a project from the show then tell us about it! Email [email protected]) with your story. To help other people find the show please leave a review on Apple Podcasts and tell your friends and co-workers

Links

Data Council

Podcast Episode

Data Community Fund DataHub

Podcast Episode

Database Design For Mere Mortals by Michael J. Hernandez (affiliate link) SOAP REST Econometrics DBA == Database Administrator Conway's Law dbt

Podcast Episode

The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Sponsored By: TimeXtender: TimeXtender is a holistic, metadata-driven solution for data integration, optimized for agility. TimeXtender provides all the features you need to build a future-proof infrastructure for ingesting, transforming, modelling, and delivering clean, reliable data in the fastest, most efficient way possible.

You can't optimize for everything all at once. That's why we take a holistic approach to data integration that optimises for agility instead of fragmentation. By unifying each layer of the data stack, TimeXtender empowers you to build data solutions 10x faster while reducing costs by 70%-80%. We do this for one simple reason: because time matters.

Go to dataengineeringpodcast.com/timextender today to get started for free!Support Data Engineering Podcast