Читать книгу Data Lakes For Dummies - Alan R. Simon - Страница 53

Suppose you and your team actually did a fantastic job architecting and building your data warehouse. You did your work and deployed the data warehouse only a few years ago, using fairly modern technology. To put it simply, your data warehouse just isn’t ready for retirement. But you still want to build a data lake to take advantage of modern big data technology. What should you do in this case?

Just as with a solidly built data mart, you can sort of “forklift” a well-architected data warehouse into your data lake environment. You’ll still have to do some rewiring of data feeds, and you’ll be adding complexity to your overall analytical data architecture. But there’s no sense in exiling a solidly built data warehouse into oblivion if it can still deliver value for you for a while to come.