This Springer Brief provides a comprehensive overview of the background
and recent developments of big data. The value chain of big data is
divided into four phases: data generation, data acquisition, data
storage and data analysis. For each phase, the book introduces the
general background, discusses technical challenges and reviews the
latest advances. Technologies under discussion include cloud computing,
Internet of Things, data centers, Hadoop and more. The authors also
explore several representative applications of big data such as
enterprise management, online social networks, healthcare and medical
applications, collective intelligence and smart grids. This book
concludes with a thoughtful discussion of possible research directions
and development trends in the field. Big Data: Related Technologies,
Challenges and Future Prospects is a concise yet thorough examination of
this exciting area. It is designed for researchers and professionals
interested in big data or related research. Advanced-level students in
computer science and electrical engineering will also find this book
useful.