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Ask any organization what they base strategic decisions on and most will say that they are data‑driven. Though many are on the path to data‑driven management, only a few have recognized — much less addressed — inherent weaknesses in the way their data platforms have been engineered. Having a robust data architecture is essential for delivering actionable insights, but navigating the data lakes and other huge, centralized repositories can be a huge challenge. As the number of data sources increase, use cases expand, and demand for access grows, the challenges multiply quickly

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