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Knowledge Management in the Development of Data-Intensive Systems (Hardcover)
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Knowledge Management in the Development of Data-Intensive Systems (Hardcover)
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Data-intensive systems are software applications that process and
generate Big Data. Data-intensive systems support the use of large
amounts of data strategically and efficiently to provide
intelligence. For example, examining industrial sensor data or
business process data can enhance production, guide proactive
improvements of development processes, or optimize supply chain
systems. Designing data-intensive software systems is difficult
because distribution of knowledge across stakeholders creates a
symmetry of ignorance, because a shared vision of the future
requires the development of new knowledge that extends and
synthesizes existing knowledge. Knowledge Management in the
Development of Data-Intensive Systems addresses new challenges
arising from knowledge management in the development of
data-intensive software systems. These challenges concern
requirements, architectural design, detailed design, implementation
and maintenance. The book covers the current state and future
directions of knowledge management in development of data-intensive
software systems. The book features both academic and industrial
contributions which discuss the role software engineering can play
for addressing challenges that confront developing, maintaining and
evolving systems;data-intensive software systems of cloud and
mobile services; and the scalability requirements they imply. The
book features software engineering approaches that can efficiently
deal with data-intensive systems as well as applications and use
cases benefiting from data-intensive systems. Providing a
comprehensive reference on the notion of data-intensive systems
from a technical and non-technical perspective, the book focuses
uniquely on software engineering and knowledge management in the
design and maintenance of data-intensive systems. The book covers
constructing, deploying, and maintaining high quality software
products and software engineering in and for dynamic and flexible
environments. This book provides a holistic guide for those who
need to understand the impact of variability on all aspects of the
software life cycle. It leverages practical experience and evidence
to look ahead at the challenges faced by organizations in a
fast-moving world with increasingly fast-changing customer
requirements and expectations.
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