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Composition and Big Data 9780822946748
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Composition and Big Data, Licastro Amanda, Miller Benjamin


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Автор: Licastro Amanda, Miller Benjamin
Название:  Composition and Big Data
ISBN: 9780822946748
Издательство: World Scientific Publishing
Издательство: University of Pittsburgh Press
Классификация:

ISBN-10: 0822946742
Обложка/Формат: Hardcover
Страницы: 272
Вес: 0.63 кг.
Дата издания: 02.11.2021
Язык: English
Размер: 23.11 x 15.49 x 3.05 cm
Поставляется из: США
Описание: This book interprets and implements the drive toward data in diverse ways.


The Trouble with Big Data: How Datafication Displaces Cultural Practices

Автор: Edmond Jennifer, Mandal Anthony, Horsley Nicola
Название: The Trouble with Big Data: How Datafication Displaces Cultural Practices
ISBN: 1350239623 ISBN-13(EAN): 9781350239623
Издательство: Bloomsbury Academic
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Цена: 29887.00 р.
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Описание: This open access book explores the challenges society faces with big data, through the lens of culture rather than social, political or economic trends, as demonstrated in the words we use, the values that underpin our interactions, and the biases and assumptions that drive us. Focusing on areas such as data and language, data and sensemaking, data and power, data and invisibility, and big data aggregation, it demonstrates that humanities research, focussing on cultural rather than social, political or economic frames of reference for viewing technology, resists mass datafication for a reason, and that those very reasons can be instructive for the critical observation of big data research and innovation. The eBook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com. Open access was funded by Trinity College Dublin, DARIAH-EU and the European Commission.

Business Intelligence Strategy and Big Data Analytics

Автор: Williams, Steve
Название: Business Intelligence Strategy and Big Data Analytics
ISBN: 0128091983 ISBN-13(EAN): 9780128091982
Издательство: Elsevier Science
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Цена: 5388.00 р.
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Описание:

Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges.

In recent years, terms like "big data" and "big data analytics" have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both.


  • Provides ideas for improving the business performance of one's company or business functions
  • Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies
  • Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans
BIG DATA

Автор: Holmes, Dawn E.
Название: BIG DATA
ISBN: 0198779577 ISBN-13(EAN): 9780198779575
Издательство: Oxford Academ
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Цена: 1767.00 р.
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Описание: An unimaginably vast amount of data is now generated by our on-line lives and businesses, At the same time, our ability to store, manage, analyse, and exploit this data is becoming ever more sophisticated. This Very Short Introduction maps out the technology, and also the range of possibilities, challenges, and ethical questions it raises.

Healthcare and Big Data Management

Автор: Bairong Shen
Название: Healthcare and Big Data Management
ISBN: 9811060401 ISBN-13(EAN): 9789811060403
Издательство: Springer
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Цена: 18294.00 р.
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Описание: The book addresses the interplay of healthcare and big data management. Thanks to major advances in big data technologies and precision medicine, healthcare is now becoming the new frontier for both scientific research and economic development. This volume covers a range of aspects, including: big data management for healthcare;

Big Data for Remote Sensing: Visualization, Analysis and Interpretation

Автор: Dey
Название: Big Data for Remote Sensing: Visualization, Analysis and Interpretation
ISBN: 3319899228 ISBN-13(EAN): 9783319899220
Издательство: Springer
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Цена: 18294.00 р.
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Описание: This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes.

Big Data Processing Using Spark in Cloud

Автор: Mittal
Название: Big Data Processing Using Spark in Cloud
ISBN: 9811305498 ISBN-13(EAN): 9789811305498
Издательство: Springer
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Цена: 12196.00 р.
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Описание: The book describes the emergence of big data technologies and the role of Spark in the entire big data stack.

Thick big data

Автор: Jemielniak, Dariusz (full Professor Of Management, Full Professor Of Management, Kozminski University)
Название: Thick big data
ISBN: 0198839715 ISBN-13(EAN): 9780198839712
Издательство: Oxford Academ
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Цена: 6454.00 р.
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Описание: Thick Big Data presents the available arsenal of new methods and tools for studying society both quantitatively and qualitatively, opening ground for the social sciences to take the lead in analysing digital behaviour. These tools are critical for students and researchers in the social sciences to successfully build mixed-methods approaches.

Big Data on Campus

Автор: Karen L Webber
Название: Big Data on Campus
ISBN: 1421439034 ISBN-13(EAN): 9781421439037
Издательство: Wiley
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Цена: 5861.00 р.
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Описание: Webber, Henry Y. Zheng, Ying Zhou

Small Summaries for Big Data

Автор: Graham Cormode, Ke Yi
Название: Small Summaries for Big Data
ISBN: 1108477445 ISBN-13(EAN): 9781108477444
Издательство: Cambridge Academ
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Цена: 7602.00 р.
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Описание: The massive volume of data generated in modern applications requires the ability to build compact summaries of datasets. This introduction aimed at students and practitioners covers algorithms to describe massive data sets from simple sums to advanced probabilistic structures, with applications in big data, data science, and machine learning.

Application of big data and business analytics

Название: Application of big data and business analytics
ISBN: 1800438850 ISBN-13(EAN): 9781800438859
Издательство: Emerald
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Цена: 16870.00 р.
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Описание: Application of Big Data and Business Analytics uses advanced analytic tools to explore the solutions to problems in society, environment and industry. The chapters within bring together researchers, engineers and practitioners, encompassing a wide and diverse set of topics in almost every field. 


With the increase in the availability of data, analytics has now become a major element in both the top line and the bottom line of any organization. With this in mind, Application of Big Data and Business Analytics brings together researchers, engineers and practitioners, encompassing a wide and diverse set of topics in almost every field. 

The primary target audience of this book includes researchers, academicians and data scientists from a variety of disciplines interested in analyzing and application of big data analytics. However, this work will also be of general interest to postgraduates and undergraduates pursuing advanced study in big data.
Big data

Автор: Pietsch, Wolfgang
Название: Big data
ISBN: 110870669X ISBN-13(EAN): 9781108706698
Издательство: Cambridge Academ
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Цена: 2851.00 р.
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Описание: Big Data and methods for analyzing large data sets such as machine learning have deeply transformed scientific practice in many fields. This Element defends an inductivist view of big data research and argues that the type of induction employed by the most successful big data algorithms is variational induction in the tradition of Mill`s methods.

Principles of Big Data

Автор: Alvin Albuero De Luna
Название: Principles of Big Data
ISBN: 1774076225 ISBN-13(EAN): 9781774076224
Издательство: Mare Nostrum (Eurospan)
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Цена: 23423.00 р.
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Описание: Takes the readers through the various aspects of big data and explores the various important principles that it works on. Through the book the readers get a deeper insight on the big data and its application in the analytical world.


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