In this episode, we dive into the complexities and costs of the modern data stack. Why is it so expensive? Why are there so many tools? And how can we simplify data management without compromising effectiveness? We explore the challenges organisations face with tool overload, the importance of developing the right skills, and the often-confusing world of vendor pricing. We also discuss the potential of open-source solutions, the fragmented ownership of data costs, and why understanding return on investment is critical. At the heart of it all, we emphasize that people and processes are just as important as technology when building a sustainable data strategy.Key Takeaways: • The modern data stack is expensive and complex. • Many organisations struggle with too many tools. • Simplicity in data management often leads to better results. • Skills development is crucial for making the most of data. • Vendor pricing models can be confusing and inconsistent. • Data cost ownership is often fragmented across teams. • Open-source solutions offer flexibility but come with risks. • Understanding ROI is essential for making informed decisions. • Strong data governance is key to managing costs effectively. • The analytics workforce is evolving, and staying ahead is crucial.Chapters00:00 The Rising Costs of Data Stacks06:18 Complexity in Modern Data Tools11:53 The Balance of Skills and Technology17:47 Vendor Lock-In and Cost Management23:11 The Challenge of Pricing Models34:22 Strategies for Simplifying Data Stacks37:32 The Value of Fit-for-Purpose Technology40:51 Navigating Open Source in Data Stacks43:51 Cost Awareness in Tech Choices45:42 Sustainability and Cost in Data Operations48:43 The Evolution of Data Teams53:55 The Future of Data Analytics Workforce54:45 Fun with Data: Would You Rather?

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