Data Lakes, Anne Laurent, Dominique Laurent, Cédrine Madera
Автор: Sonja Klingert; Marta Chinnici; Milagros Rey Porto Название: Energy Efficient Data Centers ISBN: 331915785X ISBN-13(EAN): 9783319157856 Издательство: Springer Рейтинг: Цена: 5590.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Third International Workshop on Energy Efficient Data Centers, E2DC 2014, held in Cambridge, UK, in June 2014.
Автор: Ye Tian; Min Zhao; Xinming Zhang Название: Internet Video Data Streaming ISBN: 9811065225 ISBN-13(EAN): 9789811065224 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book investigates the problem of reducing operating cost for a video streaming content delivery network (CDN), including both the CDN`s energy and traffic costs.
Автор: Arora Название: Conquering Big Data with High Performance Computing ISBN: 3319337408 ISBN-13(EAN): 9783319337401 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book provides an overview of the resources and research projects that are bringing Big Data and High Performance Computing (HPC) on converging tracks. It demystifies Big Data and HPC for the reader by covering the primary resources, middleware, applications, and tools that enable the usage of HPC platforms for Big Data management and processing.
Through interesting use-cases from traditional and non-traditional HPC domains, the book highlights the most critical challenges related to Big Data processing and management, and shows ways to mitigate them using HPC resources. Unlike most books on Big Data, it covers a variety of alternatives to Hadoop, and explains the differences between HPC platforms and Hadoop.
Written by professionals and researchers in a range of departments and fields, this book is designed for anyone studying Big Data and its future directions. Those studying HPC will also find the content valuable.
Автор: Pardalos Название: Machine Learning, Optimization, and Big Data ISBN: 3319514687 ISBN-13(EAN): 9783319514680 Издательство: Springer Рейтинг: Цена: 9224.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes revised selected papers from the Second International Workshop on Machine Learning, Optimization, and Big Data, MOD 2016, held in Volterra, Italy, in August 2016. The 40 papers presented in this volume were carefully reviewed and selected from 97 submissions.
Автор: Christian Bird Название: The Art and Science of Analyzing Software Data ISBN: 0124115195 ISBN-13(EAN): 9780124115194 Издательство: Elsevier Science Рейтинг: Цена: 8588.00 р. Наличие на складе: Поставка под заказ.
Описание:
The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to master data science.
The book covers topics such as the analysis of security data, code reviews, app stores, log files, and user telemetry, among others. It covers a wide variety of techniques such as co-change analysis, text analysis, topic analysis, and concept analysis, as well as advanced topics such as release planning and generation of source code comments. It includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source, present results to stakeholders, and drive decisions.
Название: Optimum Cooling of Data Centers ISBN: 1461456010 ISBN-13(EAN): 9781461456018 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book describes the use of free air cooling to improve efficiency and cooling of equipment used in telecom infrastructures such as data centers or base stations. Proposes a new free air cooling method that uses prognostics and health management (PHM).
The Data Management Body of Knowledge (DAMA-DMBOK2) presents a comprehensive view of the challenges, complexities, and value of effective data management.
Today's organizations recognize that managing data is central to their success. They recognize data has value and they want to leverage that value. As our ability and desire to create and exploit data has increased, so too has the need for reliable data management practices.
The second edition of DAMA International's Guide to the Data Management Body of Knowledge updates and augments the highly successful DMBOK1. An accessible, authoritative reference book written by leading thinkers in the field and extensively reviewed by DAMA members, DMBOK2 brings together materials that comprehensively describe the challenges of data management and how to meet them by:
Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas.
Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics.
Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals.
DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles:
Data is an asset with unique properties
The value of data can be and should be expressed in economic terms
Managing data means managing the quality of data
It takes metadata to manage data
It takes planning to manage data
Data management is cross-functional and requires a range of skills and expertise
Data management requires an enterprise perspective
Data management must account for a range of perspectives
Data management is data lifecycle management
Different types of data have different lifecycle requirements
Managing data includes managing risks associated with data
Data management requirements must drive information technology decisions
Effective data management requires leadership commitment
Chapters include:
Data Management
Data Handling Ethics
Data Governance
Data Architecture
Data Modeling and Design
Data Storage and Operations
Data Security
Data Integration & Interoperability
Document and Content Management
Reference and Master Data
Data Warehousing and Business Intelligence
Metadata Management
Data Quality Management
Big Data and Data Science
Data Management Maturity Assessment
Data Management Organization and Role Expectations
Data Management and Organizational Change Management
Standardization of data management disciplines will help data management professionals perform more effectively and consistently. It will also enable organizational leaders to recognize the value and contributions of data management activities.
Автор: Christian Terboven; Bronis R. de Supinski; Pablo R Название: OpenMP: Heterogenous Execution and Data Movements ISBN: 3319245945 ISBN-13(EAN): 9783319245942 Издательство: Springer Рейтинг: Цена: 6708.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 11th International Workshop on OpenMP, held in Aachen, Germany, in October 2015. The papers are organized in topical sections on applications, accelerator applications, tools, extensions, compiler and runtime, and energy.
Автор: Borko Furht; Armando Escalante Название: Handbook of Data Intensive Computing ISBN: 1489999191 ISBN-13(EAN): 9781489999191 Издательство: Springer Рейтинг: Цена: 24456.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Data-intensive computing refers to capturing, managing, analyzing, and understanding data at volumes and rates that push the frontiers of current technologies. This volume of expert commentary addresses matters related to both theory and applications.
Автор: Edmon Begoli; Fusheng Wang; Gang Luo Название: Data Management and Analytics for Medicine and Healthcare ISBN: 3319671855 ISBN-13(EAN): 9783319671857 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed conference proceedings of the Third International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2017, in Munich, Germany, in September 2017, held in conjunction with the 43rd International Conference on Very Large Data Bases, VLDB 2017.
Описание: This book constitutes the refereed proceedings of the 17th Industrial Conference on Advances in Data Mining, ICDM 2017, held in New York, NY, USA, in July 2017.
Автор: Ying Tan; Hideyuki Takagi; Yuhui Shi Название: Data Mining and Big Data ISBN: 331961844X ISBN-13(EAN): 9783319618449 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the Second International Conference on Data Mining and Big Data, DMBD 2017, held in Fukuoka, Japan, in July/August 2017. They were organized in topical sections named: association analysis; big data; data analysis; data mining;
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