Knowledge Management in the Development of Data-Intensive Systems

Data-intensive systems are software applications that process and generate Big Data. Knowledge Management in the Development of Data-Intensive Systems addresses new challenges arising from knowledge management in the development of data-intensive software systems. It covers software engineering approaches that can efficiently deal with data-intensive systems, as well as applications and use cases benefiting from data-intensive systems.

Format: Hardback
Length: 312 pages
Publication date: 16 June 2021
Publisher: Taylor & Francis Ltd

Data-intensive systems are software applications that handle and produce vast amounts of data. They enable the strategic and efficient utilization of substantial data to provide intelligence. By examining industrial sensor data or business process data, organizations can enhance production, implement proactive improvements in development processes, and optimize supply chain systems. However, designing data-intensive software systems poses significant challenges due to the distribution of knowledge among stakeholders, which creates a symmetry of ignorance. A shared vision of the future necessitates the development of new knowledge that extends and synthesizes existing knowledge.

Knowledge Management in the Development of Data-Intensive Systems addresses the emerging challenges associated with knowledge management in the development of data-intensive software systems. These challenges encompass requirements, architectural design, detailed design, implementation, and maintenance. The book explores the current state and future trends of knowledge management in the development of data-intensive software systems. It features contributions from both academic and industrial experts, discussing the role of software engineering in addressing challenges related to developing, maintaining, and evolving data-intensive software systems, as well as the scalability requirements associated with cloud and mobile services. The book showcases software engineering approaches that effectively handle data-intensive systems and applications, as well as use cases that benefit from data-intensive systems.

Providing a comprehensive reference on data-intensive systems, the book focuses specifically on software engineering and knowledge management in designing and maintaining these systems. It delves into various aspects, including data management strategies, algorithms, and technologies for processing and analyzing large datasets. The book also discusses the importance of collaboration and communication among stakeholders in the development process, as well as the role of organizational culture and change management in successfully implementing data-intensive systems.

In conclusion, data-intensive systems have become essential in today's data-driven world, and designing and maintaining these systems requires a comprehensive understanding of software engineering and knowledge management. Knowledge Management in the Development of Data-Intensive Systems provides valuable insights and strategies for addressing the challenges associated with these systems, enabling organizations to leverage the power of big data to drive innovation and growth.

Weight: 802g
Dimension: 183 x 261 x 30 (mm)
ISBN-13: 9780367430788