elsevier science technology jun 2017 (2 résultats)

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Agriculture to Zoology: Information Literacy in the Life Sciences sets the stage for purposefully integrating information literacy activities within the subject-specific content of the life sciences. The book is written for librarians and other professionals who teach information literacy skills, especially those in the science disciplines, and most especially the life sciences. It is also intended to be helpful to secondary school teachers, college faculty who teach life science-related subjects, library school students, and others interested in information literacy and science education. Anyone wanting to learn more about the Earth's life sciences, from citizen to scientist, will benefit as well. The book's seven chapters fill a gap with varying perspectives of literacy instruction in the life sciences and include resources identified by academic librarians as important for use in subject-specific research in higher education. Contributors are longtime specialists in the fields of the life sciences, science and information literacy, scientific and electronic communication, assessment, and more, including Arctic and Antarctic information. 164 pp. Englisch.

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors. Discusses systematic and disciplined approaches to building software architectures for cloud and big data with state-of-the-art methods and techniques Presents case studies involving enterprise, business, and government service deployment of big data applications Shares guidance on theory, frameworks, methodologies, and architecture for cloud and big data 470 pp. Englisch.