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Big Data, Databases and "Ownership " Rights in the Cloud, Marcelo Corrales Compagnucci


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Цена: 22359.00р.
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Автор: Marcelo Corrales Compagnucci
Название:  Big Data, Databases and "Ownership " Rights in the Cloud
ISBN: 9789811503481
Издательство: Springer
Классификация:





ISBN-10: 9811503486
Обложка/Формат: Hardcover
Страницы: 308
Вес: 0.67 кг.
Дата издания: 2020
Серия: Perspectives in Law, Business and Innovation
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 6 illustrations, color; 10 illustrations, black and white; xxv, 308 p. 16 illus., 6 illus. in color.
Размер: 234 x 156 x 19
Читательская аудитория: Professional & vocational
Основная тема: Law
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Two of the most important developments of this new century are the emergence of cloud computing and big data. However, the uncertainties surrounding the failure of cloud service providers to clearly assert ownership rights over data and databases during cloud computing transactions and big data services have been perceived as imposing legal risks and transaction costs. This lack of clear ownership rights is also seen as slowing down the capacity of the Internet market to thrive. Click-through agreements drafted on a take-it-or-leave-it basis govern the current state of the art, and they do not allow much room for negotiation. The novel contribution of this book proffers a new contractual model advocating the extension of the negotiation capabilities of cloud customers, thus enabling an automated and machine-readable framework, orchestrated by a cloud broker.Cloud computing and big data are constantly evolving and transforming into new paradigms where cloud brokers are predicted to play a vital role as innovation intermediaries adding extra value to the entire life cycle. This evolution will alleviate the legal uncertainties in society by means of embedding legal requirements in the user interface and related computer systems or its code. This book situates the theories of law and economics and behavioral law and economics in the context of cloud computing and takes database rights and ownership rights of data as prime examples to represent the problem of collecting, outsourcing, and sharing data and databases on a global scale. It does this by highlighting the legal constraints concerning ownership rights of data and databases and proposes finding a solution outside the boundaries and limitations of the law. By allowing cloud brokers to establish themselves in the market as entities coordinating and actively engaging in the negotiation of service-level agreements (SLAs), individual customers as well as small and medium-sized enterprises could efficiently and effortlessly choose a cloud provider that best suits their needs. This approach, which the author calls “plan-like architectures,” endeavors to create a more trustworthy cloud computing environment and to yield radical new results for the development of the cloud computing and big data markets.
Дополнительное описание: PART I – Fundamental Legal, Theoretical and Technical Issues.-Chapter 1 Database Rights in Big Data and the Cloud – Main Legal Considerations.Chapter 2 Brokers, Clouds and Databases – The Good, the Bad and the Ugly.- Chapter 3 Law and Economics – Five Cor



First Course in Network Science

Автор: Menczer Filippo
Название: First Course in Network Science
ISBN: 1108471137 ISBN-13(EAN): 9781108471138
Издательство: Cambridge Academ
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Цена: 6494.00 р.
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Описание: A practical introduction to network science suitable for students studying diverse programs such as business, cognitive science, neuroscience, sociology, biology, and engineering. A wide range of examples and exercises develop readers` understanding, and Python programming tutorials provided online reinforce coding skills.

Privacy, Big Data, and the Public Good

Автор: Lane
Название: Privacy, Big Data, and the Public Good
ISBN: 1107637686 ISBN-13(EAN): 9781107637689
Издательство: Cambridge Academ
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Цена: 5544.00 р.
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Описание: The book discusses access to big data for city, state, and federal government agencies and legal, social science, statistical, and technical communities interested in enabling research on big data. The authors` goal is to move the conversation to a vision of what frameworks should and could guide data access.

Privacy, Big Data, and the Public Good

Автор: Lane
Название: Privacy, Big Data, and the Public Good
ISBN: 1107067359 ISBN-13(EAN): 9781107067356
Издательство: Cambridge Academ
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Цена: 15365.00 р.
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Описание: The book discusses access to big data for city, state, and federal government agencies and legal, social science, statistical, and technical communities interested in enabling research on big data. The authors` goal is to move the conversation to a vision of what frameworks should and could guide data access.

Self-ownership, property rights and the human body :

Автор: Quigley, Muireann,
Название: Self-ownership, property rights and the human body :
ISBN: 1107036860 ISBN-13(EAN): 9781107036864
Издательство: Cambridge Academ
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Цена: 18216.00 р.
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Описание: How should the law deal with the challenges raised by advancing biotechnology? This book offers a philosophical and legal re-analysis of the law in relation to property in the body and biomaterials. It will appeal to academics working on issues crossing biotechnology, law, ethics and policy.

Self-ownership, property rights, and the human body

Автор: Quigley, Muireann (university Of Birmingham)
Название: Self-ownership, property rights, and the human body
ISBN: 1108797741 ISBN-13(EAN): 9781108797740
Издательство: Cambridge Academ
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Цена: 6019.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: How should the law deal with the challenges raised by advancing biotechnology? This book offers a philosophical and legal re-analysis of the law in relation to property in the body and biomaterials. It will appeal to academics working on issues crossing biotechnology, law, ethics and policy.

Multi Tenancy for Cloud-Based In-Memory Column Databases

Автор: Jan Schaffner
Название: Multi Tenancy for Cloud-Based In-Memory Column Databases
ISBN: 3319033441 ISBN-13(EAN): 9783319033440
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Examining Software-as-a-Service (SaaS) from the perspective of the provider, this book shows how operational costs can be reduced by using "multi tenancy," a technique for consolidating a large number of customers onto a small number of servers.

Multi Tenancy for Cloud-based In-memory Column Databases

Автор: Schaffner Jan
Название: Multi Tenancy for Cloud-based In-memory Column Databases
ISBN: 3319004964 ISBN-13(EAN): 9783319004969
Издательство: Springer
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Цена: 15372.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Examining Software-as-a-Service (SaaS) from the perspective of the provider, this book shows how operational costs can be reduced by using "multi tenancy," a technique for consolidating a large number of customers onto a small number of servers.

Data Envelopment Analysis and Effective Performance Assessment

Автор: Farhad Hossein Zadeh Lotfi, Seyed Esmaeil Najafi, Hamed Nozari
Название: Data Envelopment Analysis and Effective Performance Assessment
ISBN: 1522505962 ISBN-13(EAN): 9781522505969
Издательство: Mare Nostrum (Eurospan)
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Цена: 23285.00 р.
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Описание: Addresses the myriad of practical uses and innovative developments of data envelopment analysis. Emphasizing the importance of analysing productivity by measuring inputs, goals, economic growth, and performance, this book covers a wide breadth of innovative knowledge. It is essential reading for managers, business professionals, students of business and ICT, and computer engineers.

Computing Predictive Analytics, Business Intelligence, and Economics

Название: Computing Predictive Analytics, Business Intelligence, and Economics
ISBN: 177188729X ISBN-13(EAN): 9781771887298
Издательство: Taylor&Francis
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Цена: 17762.00 р.
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Описание: This volume brings together research and system designs that address the scientific basis and the practical systems design issues that support areas ranging from intelligent business interfaces and predictive analytics to economics modeling.

Business Analytics

Автор: Vidgen Richard
Название: Business Analytics
ISBN: 1352007258 ISBN-13(EAN): 9781352007251
Издательство: Springer
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Цена: 7406.00 р.
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Описание: This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills.

With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics.

Accompanying online resources for this title can be found at bloomsburyonlineresources.com/business-analytics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

The Ascent of Market Efficiency: Finance That Cannot Be Proven

Автор: Simone Polillo
Название: The Ascent of Market Efficiency: Finance That Cannot Be Proven
ISBN: 1501750372 ISBN-13(EAN): 9781501750373
Издательство: Mare Nostrum (Eurospan)
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Цена: 5386.00 р.
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Описание:

The Ascent of Market Efficiency weaves together historical narrative and quantitative bibliometric data to detail the path financial economists took in order to form one of the central theories of financial economics—the influential efficient-market hypothesis—which states that the behavior of financial markets is unpredictable.

As the notorious quip goes, a blindfolded monkey would do better than a group of experts in selecting a portfolio of securities, simply by throwing darts at the financial pages of a newspaper. How did such a hypothesis come to be so influential in the field of financial economics? How did financial economists turn a lack of evidence about systematic patterns in the behavior of financial markets into a foundational approach to the study of finance?

Each chapter in Simone Polillo's fascinating meld of economics, science, and sociology focuses on these questions, as well as on collaborative academic networks, and on the values and affects that kept the networks together as they struggled to define what the new field of financial economics should be about. In doing so, he introduces a new dimension—data analysis—to our understanding of the ways knowledge advances.

There are patterns in the ways knowledge is produced, and The Ascent of Market Efficiency helps us make sense of these patterns by providing a general framework that can be applied equally to other social and human sciences.

Introduction To Business Analytics

Автор: Kimbrough
Название: Introduction To Business Analytics
ISBN: 1482221764 ISBN-13(EAN): 9781482221763
Издательство: Taylor&Francis
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Цена: 15312.00 р.
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Описание:

Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level. This timely text is mainly about model analytics, particularly analytics for constrained optimization. It uses implementations that allow students to explore models and data for the sake of discovery, understanding, and decision making.

Business analytics is about using data and models to solve various kinds of decision problems. There are three aspects for those who want to make the most of their analytics: encoding, solution design, and post-solution analysis. This textbook addresses all three. Emphasizing the use of constrained optimization models for decision making, the book concentrates on post-solution analysis of models.

The text focuses on computationally challenging problems that commonly arise in business environments. Unique among business analytics texts, it emphasizes using heuristics for solving difficult optimization problems important in business practice by making best use of methods from Computer Science and Operations Research. Furthermore, case studies and examples illustrate the real-world applications of these methods.

The authors supply examples in Excel(R), GAMS, MATLAB(R), and OPL. The metaheuristics code is also made available at the book's website in a documented library of Python modules, along with data and material for homework exercises. From the beginning, the authors emphasize analytics and de-emphasize representation and encoding so students will have plenty to sink their teeth into regardless of their computer programming experience.


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