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What Should You Do About All Those Data Lakes?

Blog: The Tibco Blog

Data lakes are a great idea. They must be; there sure are a lot of them these days!

Here are some reasons why they are proliferating:

Silos, silos, and more silos

Since there seems to be a myriad of good reasons for each data lake, one might ask, what’s the downside?

The downside is that by adding multiple, distributed data lakes to their already vast array ofdata sources, enterprises now have more data silos than ever before. And each new silo makes it just a little bit harder for businesses to access, mine, analyze, and derive value from their data.

Addressing the “Now we have even more silos” challenge

So, what should enterprises do? In a recent webinar, Rick van der Lans, a highly-respectedindependent analyst specializing in data warehousing, business intelligence, big data, database technology, and data virtualization identified three ways that enterprises can fuse together their distributed data lakes and other important data sources. The options he outlined were:

For each of these options, Rick compared their various implementation aspects, such as howdata is accessed, how metadata specifications are shared, query performance, latency, time-to-solution agility, and more. From these, Rick selected the one option that he strongly recommended over the others and elaborated on the reasons for his choice.

So, which option does he recommend?

I would love to tell you, but you’ll have to find out yourself. To gain an in-depth understandingof this fast-growing problem, the solution alternatives, and recommended approach, watch thison-demand webinar.

By the way, all webinar participants will also receive a copy of Rick’s technical white paper on this topic, “The Fusion of Distributed Data Lakes: Developing Modern Data Lakes.” So, don’t miss out.

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