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Data Lakes for Manufacturing

In today’s data-driven landscape, organizations are increasingly turning to data lakes to harness vast amounts of information. However, building a data lake is not just a technical challenge; it involves significant business considerations that can determine its success or failure. Before diving into the technical aspects, businesses must clearly define their objectives. For manufacturers, this could mean improving production efficiency, reducing downtime, or enhancing product quality:

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By 2026, 40% of organizations will reduce the pace of their cloud adoption due to challenges managing increasing public cloud expenditure.

In the Predicts 2024: Unraveling Tomorrow’s Cloud Computing Landscape (ID G00800051) Gartner makes the interesting strategic planning assumption that by 2026, 40% of organizations will reduce the pace of their cloud adoption due to challenges managing increasing public cloud expenditure. Now why is that?

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