Disruptive Possibilities: How Big Data Changes Everything - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Disruptive Possibilities: How Big Data Changes Everything write by Jeffrey Needham. This book was released on 2013-05-06. Disruptive Possibilities: How Big Data Changes Everything available in PDF, EPUB and Kindle. Big data has more disruptive potential than any information technology developed in the past 40 years. As author Jeffrey Needham points out in this revealing book, big data can provide unprecedented visibility into the operational efficiency of enterprises and agencies. Disruptive Possibilities provides an historically-informed overview through a wide range of topics, from the evolution of commodity supercomputing and the simplicity of big data technology, to the ways conventional clouds differ from Hadoop analytics clouds. This relentlessly innovative form of computing will soon become standard practice for organizations of any size attempting to derive insight from the tsunami of data engulfing them. Replacing legacy silos—whether they’re infrastructure, organizational, or vendor silos—with a platform-centric perspective is just one of the big stories of big data. To reap maximum value from the myriad forms of data, organizations and vendors will have to adopt highly collaborative habits and methodologies.
Big Data: Concepts, Methodologies, Tools, and Applications
Big Data: Concepts, Methodologies, Tools, and Applications - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Big Data: Concepts, Methodologies, Tools, and Applications write by Management Association, Information Resources. This book was released on 2016-04-20. Big Data: Concepts, Methodologies, Tools, and Applications available in PDF, EPUB and Kindle. The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.
Effective Big Data Management and Opportunities for Implementation
Effective Big Data Management and Opportunities for Implementation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Effective Big Data Management and Opportunities for Implementation write by Singh, Manoj Kumar. This book was released on 2016-06-20. Effective Big Data Management and Opportunities for Implementation available in PDF, EPUB and Kindle. “Big data” has become a commonly used term to describe large-scale and complex data sets which are difficult to manage and analyze using standard data management methodologies. With applications across sectors and fields of study, the implementation and possible uses of big data are limitless. Effective Big Data Management and Opportunities for Implementation explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets. Providing multi-disciplinary perspectives fueled by international research, this publication is designed for use by data analysts, IT professionals, researchers, and graduate-level students interested in learning about the latest trends and concepts in big data.
Information Systems Management in the Big Data Era
Information Systems Management in the Big Data Era - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Information Systems Management in the Big Data Era write by Peter Lake. This book was released on 2015-01-12. Information Systems Management in the Big Data Era available in PDF, EPUB and Kindle. This timely text/reference explores the business and technical issues involved in the management of information systems in the era of big data and beyond. Topics and features: presents review questions and discussion topics in each chapter for classroom group work and individual research assignments; discusses the potential use of a variety of big data tools and techniques in a business environment, explaining how these can fit within an information systems strategy; reviews existing theories and practices in information systems, and explores their continued relevance in the era of big data; describes the key technologies involved in information systems in general and big data in particular, placing these technologies in an historic context; suggests areas for further research in this fast moving domain; equips readers with an understanding of the important aspects of a data scientist’s job; provides hands-on experience to further assist in the understanding of the technologies involved.
Computational Intelligence for Big Data Analysis
Computational Intelligence for Big Data Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Intelligence for Big Data Analysis write by D.P. Acharjya. This book was released on 2015-04-21. Computational Intelligence for Big Data Analysis available in PDF, EPUB and Kindle. The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The applications are mostly undertaken from real life situations. The book discusses major issues pertaining to big data analysis using computational intelligence techniques and some issues of cloud computing. An elaborate bibliography is provided at the end of each chapter. The material in this book includes concepts, figures, graphs, and tables to guide researchers in the area of big data analysis and cloud computing.
