Ep 9. You Don’t Need the Latest Stack. You Need Better Questions - The Data Playbook Podcast with Kris Peeters & Rushil Daya
In this episode of The Data Playbook, we explore what it really takes to build high-performance data teams.Host Kris Peeters is joined by Rushil Daya, Senior Data Engineer at Dataminded, who shares practical lessons from years of leading successful data teams across industries.They discuss:The link between data success and business valueHow mentoring beats documentation when upskilling teamsWhy testing and CI/CD matter more than flashy toolsWhat makes stakeholder communication essentialWhy Agile is nothing without real feedback loops🎙 Watch on YouTube: https://youtu.be/JEPPVakHfhA🌐 More at www.dataminded.com
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Ep 8. What It Really Takes to Build a Data-Centric Organization - The Data Playbook Podcast: Kris Peeters & Jonny Daenen
In this episode of the Data Playbook podcast, we explore what it really takes to build sustainable, data-centric organizations, moving beyond tooling and dashboards toward lasting value.Host Kris Peeters is joined by Jonny Daenen (Knowledge Lead at Dataminded), who shares insights from years of helping organizations evolve their data strategy across sectors. Together, they discuss why data platforms, domain-owned data products, and people-first operating models are the foundations of modern data success.🔍 Topics covered:Why dashboards aren’t enough for true data maturityFrom central chaos to federated teams and self-serviceThe role of governance in enabling deliveryHow AI and LLMs reshape data tooling, ownership & valueWhat “data-centric” really means , and why most fail to get there🎙 Hosted by Kris Peeters👥 With Jonny Daenen, Dataminded🌐 Visit our website for more.
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Ep 7. A Deep Dive into SQLMesh: Structured Query Validation and Safe Pipeline Testing - The Data Playbook Podcast: Kris Peeters & Michiel De Muynck
In this episode of The Data Playbook, we take a technical look at SQLMesh, a data transformation framework designed to improve the workflow and reliability of SQL-based data pipelines. Hosted by Kris Peeters, the episode features Michiel De Muynck, Senior Data Engineer at Dataminded, who provides a deep dive into SQLMesh’s internal mechanics, including its use of semantic analysis and isolated runtime environments.Michiel outlines how SQLMesh differentiates itself from tools like dbt by incorporating a semantic parser for SQL, enabling structural validation and more precise error diagnostics during pipeline development. He also explains the implementation of virtual data environments, which allow data engineers to stage, test, and version transformations without impacting production datasets, supporting safer iteration and deployment processes.🎧 Listen to more episodes on Spotify: Data Playbook Podcast🌐 Visit our website for more: Website Link
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Ep 6. Data Mesh Live: How to make it successful in organisations, with Jacek Majchrzak & Andrew Jones
In this special episode of "The Data Playbook" podcast, recorded live at the Data Mesh Live Event in Antwerp, Kris Peeters speaks with Data Mesh pioneers Jacek Majchrzak and Andrew Jones. They explore how Data Mesh addresses critical challenges in data management, including data bottlenecks, governance, and decentralization. With years of experience in the field, both Jacek and Andrew share practical lessons from their journeys and offer actionable insights into implementing Data Mesh effectively.The conversation covers:Solving data bottlenecks through decentralized architecturesImproving governance with federated modelsAligning data strategy with business goals for impactful resultsUnderstanding the importance of incremental implementationMoving beyond "data silos" towards a more flexible, scalable approachJacek and Andrew provide real-world examples of how Data Mesh can transform your data infrastructure, sharing lessons on what works, what doesn’t, and how to manage a successful Data Mesh implementation. If you're looking to overcome common data management challenges like governance and scalability, this episode is packed with practical advice.Books Referenced by Our Speakers:📚 Data Mesh in Action by Jacek Majchrzak - https://a.co/d/4i5HUcY📚 Driving Data Quality with Data Contracts by Andrew Jones - https://amzn.eu/d/aMQRFH1Stay tuned for more episodes on Data Mesh and other important topics in data architecture by following "The Data Playbook" on Spotify.🎧 Watch the full episode on Youtube🌐 Learn more on our website
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Ep 5. Data Modeling: Why should I care? Unveiling the Sense and Nonsense with Jonas De Keuster
Join us in this episode of The Data Playbook as we explore the sense and nonsense of data modeling with Jonas De Keuster, VP of Product at VaultSpeed. Jonas takes us through his journey in the world of data automation, discussing the role of data integration, data vaulting, and how modern data products are built using structured models. From dimensional modeling to the complexities of integrating data across multiple systems, Jonas shares practical insights into how organizations can scale their data operations.Topics covered include:Data Modeling Techniques: Data Vault vs. Dimensional ModelingData Automation and IntegrationBuilding Data Products with Scalable ModelsHow to Manage Data Changes and Evolving Business NeedsReal-world Challenges in Data PlatformsWhether you're leading a data team or just beginning your journey, this episode is a must-listen for anyone interested in the future of data architecture. Tune in for expert advice on building integrated data solutions that deliver real business value.To learn more, visit our website, or Watch more episodes on YouTube.
🎙️ The Data Playbook is a podcast where we aim to build a playbook for data leaders. We do that through a series of interviews with other data leaders, data practitioners and data experts. In each episode, we break down real-world data challenges: from building modern architectures and embracing Data Mesh to navigating cloud sovereignty, we help you make smarter decisions one play at a time.
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