Alexandra Diem, an expert in creating maintainable data products, shares insights on data mesh and enabling domains to create maintainable data products. They discuss applying software engineering best practices to data, the role of a data leader in an organization, maximizing value with a centralized data warehouse, introducing minimum viable concepts in data products, the importance of hypothesis testing and culture change in data analysis, explaining data mesh to new people, and enabling data teams and finding solutions for data usage and governance.

The podcast discusses upcoming episodes and future plans, including comprehensive reports and listener contributions. It features an interview on building maintainable data products with a focus on consumer alignment. The approach of the producing team in sharing data products is explored, along with challenges and advice on communicating DataMesh. The role and importance of data contracts in DataMesh are discussed, including trust, interoperability, and accountability.

Topics discussed include challenges of integrating technologies in data, need for simpler developer experience, driving towards decoupled and API-driven data approach, importance of simplicity in data mesh transition, and building simple interfaces for data products.

Ryan Collingwood, Head of Data and Analytics at OrotonGroup, discusses the importance of empathy in data activities and the need to build relationships and trust. They highlight the challenges faced by non-tech-heavy companies in implementing technical solutions like Data Mesh and Data Contracts. The podcast also explores approaching contracts in evolving companies, visualizing data contracts, reviewing data in a retrospective, the fallacy of precision in data, and the importance of empathy and self-awareness in communication and relationship-building.

Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/Please Rate and Review us on your podcast app of choice!If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/All music used this episode was found on PixaBay and was created by (including slight edits by Scott Hirleman): Lesfm, MondayHopes, SergeQuadrado, ItsWatR, Lexin_Music, and/or nevesf

This podcast discusses the importance of gradually building value over time in a DataMesh implementation and starting with low-risk data products. It highlights the significance of internal support and sponsorship in mesh transformations and the need to strike a balance between momentum and value. Additionally, it explores the challenges of maintaining momentum and balancing wins in DataMesh initiatives.

Scott interviews Kate Carruthers, Head Of Business Intelligence at UNSW AI Institute, about self-service and data mesh in universities. They discuss the importance of enabling domain experts to own and share their own data safely. Kate emphasizes building relationships, involving humans in governance, and avoiding insecure data copying. They also talk about the challenges of building data tools, making fundamental decisions, and maintaining momentum in data mesh adoption.

Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/Please Rate and Review us on your podcast app of choice!If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts here.Provided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.If you want to learn more and/or join the Data Mesh Learning Community, see here: https://datameshlearning.com/community/All music used this episode was found on PixaBay and was created by (including slight edits by Scott Hirleman): Lesfm, MondayHopes, SergeQuadrado, ItsWatR, Lexin_Music, and/or nevesf

Guests Nailya Sabirzyanova, Iulia Varvara, and Stefan Zima discuss the importance of digital and organizational transformation in implementing Data Mesh. They cover topics such as starting points in transformation initiatives, collaboration with business stakeholders, the role of design and technical authorities in certifying data products, the continuous nature of transformation, using stories to drive change, and advice for starting the Data Mesh journey.

Interview with Sean Gustafson, expert in data platforms. Key takeaways: impact culture through data platform, role of product manager, treating data products like APIs, challenges of building a data mesh, and importance of data platforms in transformation.