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Architecting the Multi-Purpose Data Lake with Data Virtualization
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One of the major challenges with big data is that it can be “too big” to copy over to a centralized environment.
This is one of the many potential disadvantages that can weaken the potential value of data lake projects prematurely.
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However, there are solutions that will help make the time and monetary investment in a data lake more worthwhile than ever before. A multi-purpose data lake with data virtualization can be implemented without holding up its legacy users.
Download the whitepaper from Denodo & R20 Consultancy to learn more.