Data lakes are a fundamental building block for many industrial data analysis solutions and
becoming increasingly popular in research. Often associated with big data use cases, data …

As the Data Lakes have gained a significant presence in the data world in the previous
decade, several main approaches to building Data Lake architectures have been proposed …

Data lakes are becoming increasingly prevalent for Big Data management and data
analytics. In contrast to traditional 'schema-on-write'approaches such as data warehouses …

This article presents a platform for environmental data named “Environmental Cloud for the
Benefit of Agriculture”(CEBA). The CEBA should fill the gap of a regional institutional …

Metadata management is a crucial success factor for companies today, as for example, it
enables exploiting data value fully or enables legal compliance. With the emergence of new …

This paper presents a comprehensive literature review on the evolution of data-lake
technology, with a particular focus on data-lake architectures. By systematically examining …

In this big data era, multitudes of data are generated and collected which contain the
potential to gain new insights, eg, for enhancing business models. To leverage this potential …

A l'ère du Big Data, les données sont caractérisées par le volume, la vitesse, la variété, la
véracité et la valeur (5V). L'enjeu majeur du Big Data, au-delà du stockage, est d'extraire de …

Privacy is a fundamental human right according to the Universal Declaration of Human
Rights of the United Nations. Adoption of the General Data Protection Regulation (GDPR) in …

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 …