The ubiquity of data lakes has created fascinating new challenges for data management
research. In this tutorial, we review the state-of-the-art in data management for data lakes …

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 …

Integrating data in data lakes is essential so we can perform more complex analyses.
However, data lakes are mainly composed of raw data, from structured, semi-structured, and …

Cloud-based visualization services have made visual analytics accessible to a much wider
audience than ever before. Systems such as Tableau have started to amass increasingly …

Data Lakes, as a modern concept of raw analytical data storage, were presented as a next
step that will take over Data Warehouses. In the course of time after the Data Lakes …

Artificial intelligence (AI) promises various new opportunities to create and appropriate
business value. However, many organizations–especially those in more traditional …

Purpose Medical research requires biological material and data collected through biobanks
in reliable processes with quality assurance. Medical studies based on data with unknown …

In the last years, data lakes are emerging as an effective and an efficient support for
information and knowledge extraction from a huge amount of highly heterogeneous and …

Introduction The ubiquity of digital devices, the infrastructure of today, and the ever-
increasing proliferation of digital products have dawned a new era, the era of big data (BD) …

When users post on social media, they protect their privacy by choosing an access control
setting that is rarely revisited. Changes in users' lives and relationships, as well as social …