Large Scale and Big Data: Processing and Management provides readers with a central source of reference on the data management techniques currently available for large-scale data processing. Presenting chapters written by leading researchers, academics, and practitioners, it addresses the fundamental challenges associated with Big Data processing t
This edited book collects state-of-the-art research related to large-scale data analytics that has been accomplished over the last few years.
This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities.
Moving beyond individual frameworks and APIs for data processing, this book unlocks the theoretical ideas that operate under the hood of every big data processing system.
So reading this book and absorbing its principles will provide a boost—possibly a big boost—to your career.
This book addresses that need, covering the area of multimedia retrieval and placing a special emphasis on scalability.
This book is aimed at both researchers and practitioners who are interested in model-based development and the analytics of large-scale models, ranging from big data management and analytics, to enterprise domains.
The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in ...
Topics and features: Reviews a framework for fast data applications, a technique for complex event processing, and a selection of agglomerative approaches for partitioning of networks Discusses a big data approach to identifying minimum ...
The main objective of this book is to write about issues, challenges, opportunities, and solutions in novel research projects about big data in various domains.
Presents an introduction to data analytics, describing the management of multi-tetrabyte datasets, such query tools as Hadoop, Hive, and Google BigQuery, the use of R to perform statistical analysis, and advanced data visualization tools.