Over the past two decades, we have witnessed an exponential increase of data production
in the world. So-called big data generally come from transactional systems, and even more …

In this paper, we propose a new network-based model to uniformly represent the structured,
semi-structured and unstructured sources of a data lake, which is one of the newest and …

Over the past decade, the data lake concept has emerged as an alternative to data
warehouses for storing and analyzing big data. A data lake allows storing data without any …

In databases field, the term Data Lake is increasingly common, which is a new raw data
storage technology to undergo further advanced processing and analysis. Today there are …

In the last decades, the amount of data produced every day is absolutely horrible. So-called
big data, that refers to the exponential growth of massive data and the difficulties that appear …

The explosion of new data: social media, commercial, industrial, health, school, etc.
appeared in recent years, has led to the emergence and development of new technologies …

The concept of data lake was proposed more than a decade ago. Although progress has
been made in data lake research and applications, there are also numerous issues and …

Data lakes are storage repositories that contain large amounts of data in its native format;
either structured ssemi-structured or unstructured, to be used when needed. Data lakes are …

Data lakes have emerged as an alternative to data warehouses for the storage, exploration
and analysis of big data. In a data lake, data are stored in a raw state and bear no explicit …

The rise of big data has revolutionized data exploitation practices and led to the emergence
of new concepts. Among them, data lakes have emerged as large heterogeneous data …