Designing a Hadoop data lake has huge potential gains. But many organizations have shied away from the investment, fearing that only their most technologically capable (and scarce) data science resources could truly take advantage of the technology. How can IT best outfit its investment with the right supporting applications to entice business users, while also ensuring governance?
In this white paper, we walk you through the major components of a data lake and how to make it successful. Specifically, you’ll learn:
The advantages of designing a data lake and the components involved
Why data wrangling offers a unique, self-service solution
Common use-cases amongst Fortune 100 companies for data wrangling