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We hope you enjoy this white paper

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:

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  • 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

Read the white paper today.

""Trifacta brought an entirely new level of productivity to the way our analyst and IT teams explore diverse data and define analytic requirements. Our users can intuitively and collaboratively prepare the growing variety of data that makes up PepsiCo’s analytic initiatives.""

""We were actually able to shave the amount of time it took to do the analysis by [a factor of] six. Rather than having to do a tremendous amount of analysis, we’re actually readily able to start getting incremental data products out quickly.""