Data insights

How to assemble your Open Data Infrastructure

June 24, 2026
How to assemble your Open Data Infrastructure
A practical guide to building a governed foundation that can support diverse workloads without copying data into every tool.
Open Data Infrastructure architecture showing source systems flowing through Fivetran into an open lakehouse foundation and out to BI, SQL engines, ML, and AI agents.
Open Data Infrastructure gives teams a governed foundation that can serve different workloads without copying the same data into every tool.

Nobody knows what AI will need from your data stack next year, especially not Uncle Bob, who tried to sell you Bitcoin.

Models are converging. Agents are expanding. Tools are adapting. Last quarter's picture-perfect "AI stack" is described by AI gurus as antiquated and incomplete.

It is hard to know what to do to can get your data ready today for the AI of tomorrow.

In a constantly changing environment, you must design for motion. In game theory terms, you're operating under uncertainty. The rational move isn't to predict every future workload. The rational move is to preserve valuable options while protecting system integrity. Flexibility without integrity becomes chaos. Integrity without flexibility becomes lock-in. And unless you are the one holding the keys, you won't benefit from lock-in.

A two-axis matrix comparing flexibility and integrity across raw data lakes, proprietary warehouses, and Open Data Infrastructure.

Our report reveals why organizations continue to struggle with scaling AI.
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