Podcast announces major changes due to health and financial issues, transitions to one episode per week, discontinues segments. Host reflects on producing solo for 300 episodes, plans for future content focus on diverse voices, format changes, and commitment to diversity in data mesh community.

A panel discussion led by Ole Olesen-Bagneux featuring Liz Henderson, Piethein Strengholt, and Samia Rahman explores Master Data Management in a Data Mesh world. They discuss challenges and strategies in implementing MDM, the role of aggregate and core data, the importance of ubiquitous language, addressing metadata in data mesh, industry variations in MDM, the significance of describing and documenting data, and the role of MDM in achieving faster time to value.

In this episode, Tiankai Feng, an expert in driving data value through creativity, curiosity, collaboration, and communication, discusses the importance of driving value through data work, the role of creativity in problem-solving and data professionals, the significance of governance in driving data value and autonomy, and the importance of balancing confidence and knowledge when working with data.

In this episode, Sue Geuens discusses mastering Master Data Management in a modern world. She emphasizes the importance of prioritization and engagement in data governance, using personalized communication and storytelling. The episode also explores the challenges of pushing ownership of data upstream and the value of investment and trust.

The podcast explores the current impact and challenges of generative AI within data mesh. It emphasizes the need for reliable access to data products for machine learning engineers. The role of generative AI in data discovery is also discussed, including its potential in generating data models and providing context for data products.

Frederik Nielsen, Engineering Manager at Pandora, discusses the importance of data technology and architecture choices and how they incentivize certain behaviors. Key takeaways include building a composable platform, decentralization, and starting with a narrow focus when implementing DataMesh. They also explore challenges such as decomposing the monolith, communicating the value of DataMesh, and implementing personalization in a scalable data mesh.

Mesh Musing, a guest on data mesh, discusses the strategy of introducing data mesh to non-technical stakeholders. They emphasize aligning data work with business goals and the advantages of being early adopters. The podcast also explores the role of data collection and analysis in making informed business decisions. It emphasizes the importance of using data to stay competitive in the market and the need for a strong foundation in data-driven decision making.

In this episode, Mandeep Kaur, an Enterprise Information Architect at Nordea Asset Management, discusses the challenges and best practices of implementing Data Mesh. Some key takeaways include not overthinking decisions, bringing value out quickly, and prioritizing evolution over completion. Effective communication and finding ambassadors for organizational initiatives are also highlighted. Additionally, the importance of incremental delivery of value, the power of data in driving business forward, and the need for adaptation and improvement are discussed.

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

In this episode, guest host Jean-Georges Perrin discusses data contracts with Amy Raygada and Andrew Jones. They explore the role of data contracts in data mesh, the need for automation and collaboration, and the challenge of motivating data producers. They also discuss the key elements of a data contract and share their perspectives on multiple contracts. The episode emphasizes the importance of sharing ideas and feedback for improvement and provides links to connect with the guests.