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Large Scale and Big Data, 


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Цена: 8420.00р.
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При оформлении заказа до: 2025-07-28
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Название:  Large Scale and Big Data
ISBN: 9781138033948
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1138033944
Обложка/Формат: Paperback
Страницы: 636
Вес: 1.18 кг.
Дата издания: 16.11.2016
Язык: English
Иллюстрации: 55 tables, black and white; 255 illustrations, black and white
Размер: 235 x 156
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Databases, COMPUTERS / Databases / General,COMPUTERS / Databases / Data Mining,COMPUTERS / Software Development & Engineering / General
Основная тема: Databases
Подзаголовок: Processing and management
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Поставляется из: Европейский союз
Описание:

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 tools and techniques across a range of computing environments.

The book begins by discussing the basic concepts and tools of large-scale Big Data processing and cloud computing. It also provides an overview of different programming models and cloud-based deployment models. The books second section examines the usage of advanced Big Data processing techniques in different domains, including semantic web, graph processing, and stream processing. The third section discusses advanced topics of Big Data processing such as consistency management, privacy, and security.

Supplying a comprehensive summary from both the research and applied perspectives, the book covers recent research discoveries and applications, making it an ideal reference for a wide range of audiences, including researchers and academics working on databases, data mining, and web scale data processing.

After reading this book, you will gain a fundamental understanding of how to use Big Data-processing tools and techniques effectively across application domains. Coverage includes cloud data management architectures, big data analytics visualization, data management, analytics for vast amounts of unstructured data, clustering, classification, link analysis of big data, scalable data mining, and machine learning techniques.




Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Автор: Martin Kleppmann
Название: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
ISBN: 1449373321 ISBN-13(EAN): 9781449373320
Издательство: Wiley
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Цена: 7602.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data.

Software and Data Technolgoies

Автор: Jos? Cordeiro; Boris Shishkov; AlpeshKumar Ranchor
Название: Software and Data Technolgoies
ISBN: 3642052002 ISBN-13(EAN): 9783642052002
Издательство: Springer
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Цена: 12577.00 р.
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Описание: This book contains the best papers of the Third International Conference on Software and Data Technologies (ICSOFT 2008), held in Porto, Portugal, which was organized by the Institute for Systems and Technologies of Information, Communication and Control (INSTICC), co-sponsored by the Workflow Management Coalition (WfMC), in cooperation with the Interdisciplinary Institute for Collaboration and Research on Enterprise Systems and Technology (IICREST). The purpose of ICSOFT 2008 was to bring together researchers, engineers and practitioners interested in information technology and software development. The conference tracks were "Software Engineering", "Information Systems and Data Management", "Programming Languages", "Distributed and Parallel Systems" and "Knowledge Engineering". Being crucial for the development of information systems, software and data te- nologies encompass a large number of research topics and applications: from imp- mentation-related issues to more abstract theoretical aspects of software engineering; from databases and data-warehouses to management information systems and kno- edge-base systems; next to that, distributed systems, pervasive computing, data qu- ity and other related topics are included in the scope of this conference.

Software and Data Technologies

Автор: Joaquim Filipe; Boris Shishkov; Markus Helfert; Le
Название: Software and Data Technologies
ISBN: 3540886540 ISBN-13(EAN): 9783540886549
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Constitutes the papers of the Second International Conference on Software and Data Technologies, ICSOFT 2007, held in Barcelona, Spain, in July 2007, in conjunction with ENASE, the Evaluation of Novel Approaches to Software Engineering working conference. This book features sections on programming languages, and distributed and parallel systems.

Big Data Technologies and Applications

Автор: Furht
Название: Big Data Technologies and Applications
ISBN: 3319445480 ISBN-13(EAN): 9783319445489
Издательство: Springer
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Цена: 15372.00 р.
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Описание:

The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform.
The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes introductions to big data concepts and techniques; big data analytics; and visualization and learning techniques. The second part, LexisNexis Risk Solution to Big Data, focuses on specific technologies and techniques developed at LexisNexis to solve critical problems that use big data analytics. It covers the open source High Performance Computing Cluster (HPCC Systems®) platform and its architecture, as well as parallel data languages ECL and KEL, developed to effectively solve big data problems. The third part, Big Data Applications, describes various data intensive applications solved on HPCC Systems. It includes applications such as cyber security, social network analytics including fraud, Ebola spread modeling using big data analytics, unsupervised learning, and image classification.
The book is intended for a wide variety of people including researchers, scientists, programmers, engineers, designers, developers, educators, and students. This book can also be beneficial for business managers, entrepreneurs, and investors.
Advanced Data Mining and Applications

Автор: Tang
Название: Advanced Data Mining and Applications
ISBN: 3540881913 ISBN-13(EAN): 9783540881919
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Constitutes the refereed proceedings of the 4th International Conference on Advanced Data Mining and Applications, ADMA 2008, held in Chengdu, China, in October 2008. This book focuses on advancements in data mining and peculiarities and challenges of real world applications using data mining.

Data Management in Grid and Peer-to-Peer Systems

Автор: Abdelkader Hameurlain
Название: Data Management in Grid and Peer-to-Peer Systems
ISBN: 3540851755 ISBN-13(EAN): 9783540851752
Издательство: Springer
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Цена: 8384.00 р.
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Описание: Constitutes the refereed proceedings of the First International Conference on Data Management in Grid and Peer-to-Peer Systems, Globe 2008, held in Turin, Italy, September, 2008. This work is organized in topical sections on P2P storage systems and caching, P2P data integration systems, querying in grid and P2P systems.

The Art and Science of Analyzing Software Data

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.

Migrating Large-Scale Services to the Cloud

Автор: Passmore
Название: Migrating Large-Scale Services to the Cloud
ISBN: 1484218728 ISBN-13(EAN): 9781484218723
Издательство: Springer
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Цена: 5170.00 р.
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Описание: This book reveals the technical challenges and successful implementation details of migrating MSN, Microsoft’s consumer content portal--a business with 450 million worldwide users--into the Cloud. Following a technique long used in aviation, medicine, and other fields, MSN’s Chief Technical Officer, Eric Passmore, describes the set of release, deployment, monitoring, and mitigation checklists used to build cloud services supporting hundreds of millions of users on Azure, Microsoft’s Public Cloud. An undertaking of this scale--involving services supported by a large team of engineers--involves unique challenges and risks. This book demonstrates through personal experience how to cut through the theory and provides checklists as a surprisingly simple antidote to the competing methodologies.This book works at two levels.At a fundamental level, businesses need to be successful in the cloud if they want to seize new opportunities and transform their business to compete successfully. This book provides a framework for success by identifying the 'hidden' work as part of moving to the cloud.At a more practical, level there is an incredible hunger for simple to follow, 'how-to' information on Cloud migration. This book is a reference guide to reduce risk and achieve success without requiring the busy reader to wade through theory.It contains simple to follow, 'how-to' information on cloud migration. It is a reference guide to achieving success, and any team can modify these tasks to fit the needs of their own organization.

Who This Book is For:
Technology professionals who deploy services in the cloud or are thinking of moving to the cloud. Professionals in the DevOps and Cloud services fields need these skills to succeed in their current jobs or advance their careers.

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