Modern data systems don't fail because of bad tools. They fail because of broken thinking.

In Mastering Data Architecture, Satyendra Chauhan, a seasoned data architect, mentor, and transformation leader, reveals why most cloud migrations, AI initiatives, and data strategies struggle or fall short. This is not a book about tools. It is a guide to the mindset and principles that shape scalable, trustworthy, and AI-ready data systems.

Drawing from over two decades of experience across startups, Fortune 100 companies, and large-scale cloud programs, Chauhan offers a first-principles playbook for modern data engineers and architects. Whether you are new to the field or transitioning from engineering to architecture, you will learn how to design systems that last and evolve.

Inside, you will explore:

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Why most "modern stacks" miss the point

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How to model data that works for both BI and AI

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Frameworks for building resilient pipelines and trustworthy contracts

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What AI really requires from your data architecture

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How to grow from implementer to strategic leader

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And how the story of Aurora Retail uncovers the deeper lessons behind transformation

Blending real-world lessons with storytelling and practical insights, Mastering Data Architecture is a hands-on guide to help you think clearly, architect with purpose, and lead with confidence in the age of AI.

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• Business & MoneyIndustriesInformation Management

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• Print Length: 123 Pages
• File Size: 116 KB