This contribution examines the terms of big data and big data engineering, considering the
specific characteristics and challenges. Deduced by those, it concludes the need for new …

The amount of data to be produced and analyzed is increasing year by year. As a result, the
concept of big data gained interest among researchers and practitioners. However, a …

For many years now, researchers as well as practitioners are harnessing well-known data
mining processes, such as the CRISP-DM or KDD, to realize their data analytics projects. In …

Big Data is a term that gained popularity due to its potential benefits in various fields, and is
progressively being used. However, there are still many gaps and challenges to overcome …

Project success requires the ability to capture the varying and complex views of many
different stakeholders clearly and concisely. With no common language or understanding of …

Big data has proved to be one of the most promising trends in recent years. However, many
challenges and barriers still exist, especially when it comes to the strategic planning and …

Requirements engineering (RE), as a part of the project development life cycle, has
increasingly been recognized as the key to ensure on-time, on-budget, and goal-based …

Requirements engineering (RE), as a part of the project development life cycle, has
increasingly been recognized as the key to ensuring on-time, on-budget, and goal-based …

Context: Today's digital world with millions of users results in vast amounts of data. This 'big
data', characterized according to its volume, variety, velocity, and veracity, is impacting the …

For more than a decade now, data has been considered as the new digital oil when it comes
to IT projects. Be it as a basis for the development of new ideas and business processes or …