Weekly Episode Summaries and Programming Notes – Week of October 1, 2023
Oct 1, 2023
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The podcast discusses the upcoming episodes and programming notes. They highlight the importance of measurement and tracking progress in data. It explores the evolution of metrics and user adoption in data products. The chapter also discusses introducing data to business users and building a data product team. It provides insights on implementing data mesh governance.
Measurement is crucial for becoming a data-driven organization and involves tracking progress and encouraging early adoption to drive the development of new use cases.
Data mesh governance requires finding a balance between decentralization and central governance, with emphasis on communication, culture, shared outcomes, and maintaining momentum.
Deep dives
Summary of episode 256: Driving towards a data-driven culture with DataMesh
In this episode, Amy Edwards, former director of analytics and product at VISTA, discusses the importance of measurement in becoming a data-driven organization. She emphasizes the need to track and understand progress in order to focus on different aspects of data products or a mesh journey. Amy also highlights the importance of getting people to use specific data products to generate value and encourages early adoption to drive the development of new use cases. She shares insights on balancing usability and customization and the challenges of data fluency and consumer adoption. Amy concludes by discussing the structure and function of data product teams and the importance of engaged consumer stakeholders.
Summary of episode 257: Panel on data mesh governance
This panel, led by Andrew Sharp, features Nick Laskum, Kendal Mottie, and Jay Como, discussing data mesh governance. They highlight the misconception that data mesh means decentralized everything and emphasize the need for a central governance function to provide guidance and support. The panel emphasizes the importance of finding the right balance between individuality and consistency, federating or decentralizing at a gradual pace, and enabling interoperability. They stress the importance of communication, culture, and shared outcomes, while also recognizing the challenges of data ownership and governance roles. The panel provides insights on building a strong foundation, the value of data engineers in data product teams, and the critical aspect of maintaining momentum in a data mesh implementation.