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Tag Archives: data-lakehouse

Future Data Trends: Insights for 2026 Leadership

21 Sunday Dec 2025

Posted by Martyn Rhisiart Jones in Inform, educate and entertain.

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AI, Analytics, Artificial Intelligence, Business, chatgpt, cloud, data mesh, Data Warehouse, data-lakehouse, llm, medallion-architecture, technology

Martyn Rhisiart Jones

Segovia, 20th December 2025

Top 5 Trends Shaping the Future of Data, Analytics, and AI Leadership in 2026

I’ve had the privilege of leading a groundbreaking global study in partnership with a strategic client. During this study, I spoke with many key Chief Data Officers (CDOs). I also engaged with Chief Data & Analytics Officers (CDAOs) and AI executives across industries and geographies. The insights reveal how organisations are changing their data and AI strategies. They aim to drive real business value in an increasingly complex world.

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Is the Data Warehouse Dead? Exploring New Paradigms

20 Saturday Dec 2025

Posted by Martyn Rhisiart Jones in Inform, educate and entertain., Polemic

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Tags

AI, Analytics, Artificial Intelligence, cloud, data mesh, Data Warehouse, data-lakehouse, llm, medallion-architecture, technology

Martyn Rhisiart Jones

Segovia 20th December 2025

The Data Warehouse Is Dead. Long Live the Data Warehouse.

In 1992, Bill Inmon coined the term “data warehouse” and laid out four sacred rules: subject-oriented, integrated, non-volatile, time-variant. It was a blueprint for a fortress of truth, expensive, on-premises, batch-processed, and utterly indispensable. Fast-forward three decades. The fortress has been replaced by something that resembles a hyperscale cloud platform. This platform can run your AI models and your CEO’s dashboard simultaneously. Welcome to data warehousing in 2025.

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The Evolution of Data Warehousing: Principles for 2026

20 Saturday Dec 2025

Posted by Martyn Rhisiart Jones in Inform, educate and entertain.

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Tags

AI, amazon, Artificial Intelligence, azure, cloud, data mesh, Data Warehouse, Data Warehousing, data-lakehouse, microsoft, oracle, technology

Martyn Rhisiart Jones

Segovia, 20th December 2025

Introduction

The data warehouse has undergone a profound transformation over the past decade. Expensive, rigid, on-premises systems were once built for batch reporting. These systems have now evolved into cloud-native, highly scalable platforms. They are designed to meet the demands of today’s data-driven organisations.

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