Modern Approaches in Data Engineering and Information System Design
For decades, in many, particularly complex organization systems, there is an open issue how to support information management process so as to produce useful knowledge and tangible business values from data being collected. One of the central roles in addressing this issue still play databases and information systems. In recent years, we are the witnesses of great movements in the area of business information management. Such movements are both of technological and methodological nature. By this, today we have a huge selection of various technologies, tools, and methods in data engineering as a discipline that helps in a support of the whole data life cycle in organization systems, as well as in information system design that supports the software process in data engineering. Despite that, one of the hot issues in practice is still how to effectively transform large amounts of daily collected operational data into the useful knowledge from the perspective of declared company goals, and how to set up the information design process aimed at production of effective software services in companies. This lecture is intended to address interdisciplinary character of a set of theories, methodologies, processes, architectures, and technologies in disciplines such as Data Engineering, Information System Design, Big Data, NoSQL Systems, and Model Driven Approaches in a development of effective software services. In September 2019, a workshop with the same title and acronym MADESID is organized in the scope of the ADBIS 2019 conference. The lecture will give a short overview of the main workshop contributions.
Lecture at NEMO2019
Date/Time: Tuesday, July 16, 2019 at 09:00