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Architecting the Multi-Purpose Data Lake with Data Virtualization

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.

 

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.


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