Big data lakes are now important components of emerging big data architectures. Big data lakes are essentially the natural evolution of data warehousing systems in the big data context, and they address a number of requirements arising from the well-known 3V nature of big data. Several issues arose alongside the development of the big data lake research initiative including: i) big data lake models; (ii) big data lake frameworks; and (iii) big data lake techniques. In line with this exciting research perspective, this paper proposes an overview of cutting-edge approaches that are at the foundations of big data lake research, as well as innovative open problems and issues that drive future research directions on advancing the big data lake research trend.

Big Data Analytics , Big Data Representation , Big Data Processing , Big Data; Big Data Lakes