Читать книгу Data Lakes For Dummies - Alan R. Simon - Страница 45

If your existing data marts are creaking and groaning and are now coming up short even for the analytical needs of their respective users, here’s a great idea: Get rid of them!

Figure 2-3 shows how your new data lake gives you the perfect opportunity to not only get your data mart proliferation under control, but also upgrade your overall analytics.

FIGURE 2-3: Using a data lake to retire data marts.

Chances are, most of your data marts, especially those that have been around for a while, support descriptive analytics (basic business intelligence functions such as drilling deeper into summarized data to gain additional insights from lower levels of your data). But what about advanced analytical needs such as machine learning or other data mining and artificial intelligence–enabled analytical needs? Probably not so much!

So, why keep those aging data marts around? Redirect the data feeds from your source systems into your new data lake, and rebuild your analytics for accounting, your human resources (HR) organization, sales and marketing, and other parts of your enterprise within the data lake environment.