Big Data Lakes: Models, Frameworks, and Techniques

Abstract

Nowadays, big data lakes are prominent components of emerging big data architectures. Basically, big data lakes are the natural evolution of data warehousing systems in the big data context, and deal with several requirements deriving from the well-known 3V nature of big data. Along with the emerging of big data lake research initiative, several issues appeared, such as: (i) big data lake models; (ii) big data lake frameworks; (iii) big data lake techniques. In line with this exciting research perspective, this paper proposes an overview of state-of-the-art approaches that are at the foundations of big data lake research, and innovative open problems and issues, which drive future research directions, on advancing the big data lake research trend.

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