The concept of the data lake has been gaining traction as a big data solution to fast-track data ingestion and analysis for users across the enterprise. But what is driving data lake implementation and how is the data in the lake managed, secured, and maintained?
The data lake, a data-centered architecture featuring a repository capable of storing vast quantities of data in various formats, has emerged among IT organizations as a solution to the challenges with existing enterprise data architectures. In the data lake, data itself is no longer restrained by initial schema decisions and can be exploited more freely by the enterprise.
If you’ve ever wanted to know how a Data Lake works, look no further than this month’s infographic.