Stacked Data Podcast

Is dbt lowering the bar for data modelling having a negative effect on data quality?Data modeling is the cornerstone of data-driven decision-making. It's the art of translating a business's concepts, definitions, and activities into data structures. When done right, it empowers you to answer the crucial "why" questions by capturing the "who, when, how, and what" of a business. Moreover, it paves the way for future efficiency, reusability, and data consistency.So, why do so many organizations still overlook the importance of a robust data modelling strategy?This week, on The Stacked Data Podcast, I have the pleasure of hosting Rob, the Head of Data Product at Miro. Rob delves into the critical significance of data modelling, the common pitfalls to avoid, and shares invaluable insights on how to approach data modelling and effectively lead teams of data modellers.🚀 Key Takeaways: Know      Your Critical Concepts and Attributes: Define and design them upfront,      ensuring alignment across your organization. Regularly revisit and expand      your list of conceptual definitions. Invest      in Ongoing Education: Constantly enhance the skills of your data      contributors. While not everyone needs to be a data expert, analysts      should grasp architectural principles, master their tools, and engage in      continuous learning. Rob, for instance, dedicates 5-7% of team time to      Learning and Development (L&D) activities. Maintain      Your Models Like a Garden: Regularly dedicate time to review, refine,      refactor, clean, upgrade, and promote your data models. This should be a      shared responsibility and part of your sprint routine.

This week I’m joined by Leon Tang the VP of Data from @fresha. Leon shares his unique career, from frying fish and chips to building and leading data teams at some of the world's most well-known tech companies.Leon stresses the importance of relationship building and business understanding as a key attributes to success in data.We speak about how to make sure your data team is a driver of the business and not a support function.I dive into how to excel in your data career and have impact on the business everyday!🌐 What You'll Learn:How to break from a “Senior” into LeadershipHow to build your toolkit to succeed in dataHow to foster a data driven culture to set your team up for success.Top tips for interviewing and a successful career in data!The Stacked Data Podcast isn't just about technology; it's about the stories, experiences, and lessons that drive innovation in the data landscape. Whether you're a seasoned data professional or simply curious about the future of data, this conversation offers a wealth of knowledge and inspiration.Please give us a follow as we have lots more episodes coming!We are always looking for feedback or topics you'd like to hear about. Please reach out!

Sandeep Mehta, the Engineering lead for data platforms at Dojo, discusses the exciting shift towards a self-serve data platform using the data mesh strategy. He reveals how Dojo handles an astonishing £50 billion in transactions daily and emphasizes empowering domain teams to enhance data ownership. Sandeep shares insights on tackling data debt, aligning business strategies, and fostering collaboration for faster product development cycles. He also offers valuable interview tips for aspiring data professionals, highlighting the importance of ownership and deep understanding in the field.

I'm joined by Sami Rahman as we dive deep into the fascinating world of Modern Data, covering topics around maximising your stack and the power of a semantic layer.In this episode, I had the privilege of sitting down with Sami, who has a truly unique path into data. Together, we explore the intricacies of the semantic layer and modern data stack, unearthing its transformative potential and its vital role in modern data architecture.🌐 What You'll Learn:An honest insight into Sami unique career journey (including a stint in ANTI-TERRORISM)Insights on harnessing the power of the modern data stack and a semantic layer to unlock data's true potential.Real-world applications and success stories that shed light on its impact.Practical tips and strategies to navigate the challenges of implementing a robust semantic layer.Top tips for interviewing and a successful career in data!This podcast isn't just about technology; it's about the stories, experiences, and lessons that drive innovation in the data landscape. Whether you're a seasoned data professional or simply curious about the future of data, this conversation offers a wealth of knowledge and inspiration.Please give us a follow as we have lots more episodes coming!We are always looking for feedback or topics you'd like to hear about. Please reach out!

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