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 …

Today, almost all active organizations manage a large amount of data from their business
operations with partners, customers, and even competitors. They rely on Data Value Chain …

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 …

Real-world data streams pose a unique challenge to the implementation of machine
learning (ML) models and data analysis. A notable problem that has been introduced by the …

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 …

The construction of systems supporting spatial data has experienced great enthusiasm in
the past, due to the richness of this type of data and their semantics, which can be used in …

The purpose of this paper is to investigate how Kafka can be used to construct data lakes for
real-time data processing. Kafka has gained widespread popularity as a data ingestion and …

Improving the efficiency of operations is a major challenge in facility management given the
limitations of outsourcing individual building functions to third-party companies. The status of …

The proliferation of the Internet of Things (IoT), artificial intelligence (AI), the adoption of 5G,
and progress towards 6G technology have led to the accumulation of massive amounts of …

Web server access log files are text files containing important data about server activities,
client requests addressed to a server, server responses, etc. Large-scale analysis of these …