The Business Case for the AI-Ready Lakehouse

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What’s inside

Your organization is already facing an infrastructure decision it didn’t ask for: a Hadoop platform aging out of support, a hardware refresh coming due, or lakes, warehouses, and analytics tools that have quietly compounded into their own budget line. This whitepaper makes the financial case that the refresh you’re already budgeting for is the same decision as your AI infrastructure decision. It shows what that decision costs against the alternative, including up to 40% lower total cost of ownership than appliance-based alternatives, and closes with four questions to put to your technical team before you sign.

What you’ll learn

Why the refresh you’re already budgeting for is the same decision as your AI infrastructure decision

Where cost compounds, and how an AI-ready foundation lowers it: commodity hardware, licensing on capacity you actually use after data reduction, and security and operations included

What the usual workarounds really cost, from separate systems and sync pipelines to masked data copies and point solutions

What the move does and doesn’t require, with no forklift replacement, no rework, and no parallel-run budget line

The four questions to ask your technical team before you approve the budget

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