Data is one of the most valuable assets in the digital era because it may conceal hidden
valuable insights. Diverse organizations in diverse domains overcome the challenges of the …

In the context of decision-making, there is a growing demand for near real-time data that
traditional solutions, like data warehousing based on long-running ETL processes, cannot …

This article proposes a new parallel performance model for different workloads of Spark Big
Data applications running on Hadoop clusters. The proposed model can predict the runtime …

The stream data warehouse is an answer to the rapidly changing world of data analysis,
which demands reliable and up-to-date results, obtained in a near real-time manner …

In recent years, medical data have vastly increased due to the continuous generation of
digital data. The different forms of medical data, such as reports, textual, numerical …

Artificial intelligence applied to industry 4.0 will help the Iberoamerican industries to
experiment and adopt a digital transformation. In this paper, we present a literature review of …

Big Data Cybersecurity Analytics (BDCA) is a helpful tool for cybersecurity maintenance that
may support the identification of potential threats. Data preparation for traditional BDCA …

Utilizing data-driven approaches to manage platform labor is a prime example of how big
data is applied in modern labor practices. While touting advantages such as improved …

Distributed Data Processing Platforms (eg, Hadoop, Spark, and Flink) are widely used to
store and process data in a cloud environment. These platforms distribute the storage and …

This series covers monographs, both authored and edited, conference proceedings and
novel engineering literature related to technology enabled solutions in the area of …