Big Data War

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Big Data War

Patrick H. Park
Big Data War Book PDF

Author : Patrick H. Park
Publisher : Business Expert Press
Page : 150 pages
File Size : 44,8 Mb
Release : 2016-08-26
Category : Business & Economics
ISBN : 9781631575617

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Big Data War by Patrick H. Park Pdf

This book mainly focuses on why data analytics fails in business. It provides an objective analysis and root causes of the phenomenon, instead of abstract criticism of utility of data analytics. The author, then, explains in detail on how companies can survive and win the global big data competition, based on actual cases of companies. Having established the execution and performance-oriented big data methodology based on over 10 years of experience in the field as an authority in big data strategy, the author identifies core principles of data analytics using case analysis of failures and successes of actual companies. Moreover, he endeavors to share with readers the principles regarding how innovative global companies became successful through utilization of big data. This book is a quintessential big data analytics, in which the author’s knowhow from direct and indirect experiences is condensed. How do we survive at this big data war in which Facebook in SNS, Amazon in e-commerce, Google in search, expand their platforms to other areas based on their respective distinct markets? The answer can be found in this book.

Small Wars, Big Data

Eli Berman,Joseph H. Felter,Jacob N. Shapiro
Small Wars Big Data Book PDF

Author : Eli Berman,Joseph H. Felter,Jacob N. Shapiro
Publisher : Princeton University Press
Page : 410 pages
File Size : 53,8 Mb
Release : 2020-07-14
Category : History
ISBN : 9780691204017

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Small Wars, Big Data by Eli Berman,Joseph H. Felter,Jacob N. Shapiro Pdf

How a new understanding of warfare can help the military fight today's conflicts more effectively. The way wars are fought has changed starkly over the past sixty years. International military campaigns used to play out between large armies at central fronts. Today's conflicts find major powers facing rebel insurgencies that deploy elusive methods, from improvised explosives to terrorist attacks. Small Wars, Big Data presents a transformative understanding of these contemporary confrontations and how they should be fought. The authors show that a revolution in the study of conflict--enabled by vast data, rich qualitative evidence, and modern methods--yields new insights into terrorism, civil wars, and foreign interventions. Modern warfare is not about struggles over territory but over people; civilians--and the information they might choose to provide--can turn the tide at critical junctures. The authors draw practical lessons from the past two decades of conflict in locations ranging from Latin America and the Middle East to Central and Southeast Asia. Building an information-centric understanding of insurgencies, the authors examine the relationships between rebels, the government, and civilians. This approach serves as a springboard for exploring other aspects of modern conflict, including the suppression of rebel activity, the role of mobile communications networks, the links between aid and violence, and why conventional military methods might provide short-term success but undermine lasting peace. Ultimately the authors show how the stronger side can almost always win the villages, but why that does not guarantee winning the war. Small Wars, Big Data provides groundbreaking perspectives for how small wars can be better strategized and favorably won to the benefit of the local population.

AI at War

Sam J Tangredi,George Galdorisi
AI at War Book PDF

Author : Sam J Tangredi,George Galdorisi
Publisher : Naval Institute Press
Page : 343 pages
File Size : 42,7 Mb
Release : 2021-03-15
Category : Political Science
ISBN : 9781682476345

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AI at War by Sam J Tangredi,George Galdorisi Pdf

Artificial intelligence (AI) may be the most beneficial technological development of the twenty-first century.Media hype and raised expectations for results, however, have clouded understanding of the true nature of AI—including its limitations and potential. AI at War provides a balanced and practical understanding of applying AI to national security and warfighting professionals as well as a wide array of other readers. Although the themes and findings of the chapters are relevant across the U.S. Department of Defense, to include all Services, the Joint Staff and defense agencies as well as allied and partner ministries of defense, this book is a case study of warfighting functions in the Naval Services—the U.S. Navy and U.S. Marine Corps. Sam J. Tangredi and George Galdorisi bring together over thirty experts, ranging from former DOD officials and retired flag officers to scientists and active duty junior officers. These contributors present views on a vast spectrum of subjects pertaining to the implementation of AI in modern warfare, including strategy, policy, doctrine, weapons, and ethical concerns.

Big Data

Bill Schmarzo
Big Data Book PDF

Author : Bill Schmarzo
Publisher : John Wiley & Sons
Page : 245 pages
File Size : 47,8 Mb
Release : 2013-10-07
Category : Business & Economics
ISBN : 9781118739570

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Big Data by Bill Schmarzo Pdf

Leverage big data to add value to your business Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment. The tricky part for busy IT professionals and executives is how to get this done, and that's where this practical book comes in. Big Data: Understanding How Data Powers Big Business is a complete how-to guide to leveraging big data to drive business value. Full of practical techniques, real-world examples, and hands-on exercises, this book explores the technologies involved, as well as how to find areas of the organization that can take full advantage of big data. Shows how to decompose current business strategies in order to link big data initiatives to the organization’s value creation processes Explores different value creation processes and models Explains issues surrounding operationalizing big data, including organizational structures, education challenges, and new big data-related roles Provides methodology worksheets and exercises so readers can apply techniques Includes real-world examples from a variety of organizations leveraging big data Big Data: Understanding How Data Powers Big Business is written by one of Big Data's preeminent experts, William Schmarzo. Don't miss his invaluable insights and advice.

The History Manifesto

Jo Guldi,David Armitage
The History Manifesto Book PDF

Author : Jo Guldi,David Armitage
Publisher : Cambridge University Press
Page : 128 pages
File Size : 55,6 Mb
Release : 2014-10-02
Category : Political Science
ISBN : 9781316165256

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The History Manifesto by Jo Guldi,David Armitage Pdf

How should historians speak truth to power – and why does it matter? Why is five hundred years better than five months or five years as a planning horizon? And why is history – especially long-term history – so essential to understanding the multiple pasts which gave rise to our conflicted present? The History Manifesto is a call to arms to historians and everyone interested in the role of history in contemporary society. Leading historians Jo Guldi and David Armitage identify a recent shift back to longer-term narratives, following many decades of increasing specialisation, which they argue is vital for the future of historical scholarship and how it is communicated. This provocative and thoughtful book makes an important intervention in the debate about the role of history and the humanities in a digital age. It will provoke discussion among policymakers, activists and entrepreneurs as well as ordinary listeners, viewers, readers, students and teachers. This title is also available as Open Access.

Big Data and Security

Yuan Tian,Tinghuai Ma,Qingshan Jiang,Qi Liu,Muhammad Khurram Khan
Big Data and Security Book PDF

Author : Yuan Tian,Tinghuai Ma,Qingshan Jiang,Qi Liu,Muhammad Khurram Khan
Publisher : Springer Nature
Page : 759 pages
File Size : 41,9 Mb
Release : 2023-05-30
Category : Computers
ISBN : 9789819933006

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Big Data and Security by Yuan Tian,Tinghuai Ma,Qingshan Jiang,Qi Liu,Muhammad Khurram Khan Pdf

This book constitutes the refereed proceedings of the 4th International Conference on Big Data and Security, ICBDS 2022, held in Xiamen, China, during December 8–12, 2022. The 51 full papers and 3 short papers included in this book were carefully reviewed and selected from 211 submissions. They were organized in topical sections as follows: answer set programming; big data and new method; intelligence and machine learning security; data technology and network security; sybersecurity and privacy; IoT security.

Big Data Imperatives

Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa
Big Data Imperatives Book PDF

Author : Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa
Publisher : Apress
Page : 311 pages
File Size : 51,5 Mb
Release : 2013-06-24
Category : Computers
ISBN : 9781430248729

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Big Data Imperatives by Soumendra Mohanty,Madhu Jagadeesh,Harsha Srivatsa Pdf

Big Data Imperatives, focuses on resolving the key questions on everyone's mind: Which data matters? Do you have enough data volume to justify the usage? How you want to process this amount of data? How long do you really need to keep it active for your analysis, marketing, and BI applications? Big data is emerging from the realm of one-off projects to mainstream business adoption; however, the real value of big data is not in the overwhelming size of it, but more in its effective use. Big Data Imperatives describes the complementary nature of traditional data warehouses and big-data analytics platforms and how they feed each other. This book aims to bring the big data and analytics realms together with a greater focus on architectures that leverage the scale and power of big data and the ability to integrate and apply analytics principles to data which earlier was not accessible. This book can also be used as a handbook for practitioners; helping them on methodology,technical architecture, analytics techniques and best practices. At the same time, this book intends to hold the interest of those new to big data and analytics by giving them a deep insight into the realm of big data.

Big Data Analytics

Frank J. Ohlhorst
Big Data Analytics Book PDF

Author : Frank J. Ohlhorst
Publisher : John Wiley & Sons
Page : 176 pages
File Size : 41,9 Mb
Release : 2012-11-15
Category : Business & Economics
ISBN : 9781118239049

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Big Data Analytics by Frank J. Ohlhorst Pdf

Unique insights to implement big data analytics and reap big returns to your bottom line Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses how you can turn a business liability into actionable material that can be used to redefine markets, improve profits and identify new business opportunities. Reveals big data analytics as the next wave for businesses looking for competitive advantage Takes an in-depth look at the financial value of big data analytics Offers tools and best practices for working with big data Once the domain of large on-line retailers such as eBay and Amazon, big data is now accessible by businesses of all sizes and across industries. From how to mine the data your company collects, to the data that is available on the outside, Big Data Analytics shows how you can leverage big data into a key component in your business's growth strategy.

Big Data

Viktor Mayer-Schönberger,Kenneth Cukier
Big Data Book PDF

Author : Viktor Mayer-Schönberger,Kenneth Cukier
Publisher : Houghton Mifflin Harcourt
Page : 257 pages
File Size : 51,9 Mb
Release : 2013
Category : Business & Economics
ISBN : 9780544002692

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Big Data by Viktor Mayer-Schönberger,Kenneth Cukier Pdf

A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Big Data Surveillance and Security Intelligence

David Lyon,David Murakami Wood
Big Data Surveillance and Security Intelligence Book PDF

Author : David Lyon,David Murakami Wood
Publisher : UBC Press
Page : 303 pages
File Size : 53,5 Mb
Release : 2020-12-01
Category : Social Science
ISBN : 9780774864206

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Big Data Surveillance and Security Intelligence by David Lyon,David Murakami Wood Pdf

Intelligence gathering is in a state of flux. Enabled by massive computing power, new modes of communications analysis now touch the lives of citizens around the globe – not just those considered suspicious or threatening. Big Data Surveillance and Security Intelligence reveals the profound shift to “big data” practices that security agencies have made in recent years, as the increasing volume of information challenges traditional ways of gathering intelligence. In this astute collection, leading academics, civil society experts, and regulators debate the pressing questions this trend raises about civil liberties, human rights, and privacy protection in Canada.

Big Data and The Internet of Things

Robert Stackowiak,Art Licht,Venu Mantha,Louis Nagode
Big Data and The Internet of Things Book PDF

Author : Robert Stackowiak,Art Licht,Venu Mantha,Louis Nagode
Publisher : Apress
Page : 207 pages
File Size : 47,6 Mb
Release : 2015-05-07
Category : Computers
ISBN : 9781484209868

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Big Data and The Internet of Things by Robert Stackowiak,Art Licht,Venu Mantha,Louis Nagode Pdf

Enterprise Information Architecture for a New Age: Big Data and The Internet of Things, provides guidance in designing an information architecture to accommodate increasingly large amounts of data, massively large amounts of data, not only from traditional sources, but also from novel sources such everyday objects that are fast becoming wired into global Internet. No business can afford to be caught out by missing the value to be mined from the increasingly large amounts of available data generated by everyday devices. The text provides background as to how analytical solutions and enterprise architecture methodologies and concepts have evolved (including the roles of data warehouses, business intelligence tools, predictive analytics, data discovery, Big Data, and the impact of the Internet of Things). Then you’re taken through a series of steps by which to define a future state architecture and create a plan for how to reach that future state. Enterprise Information Architecture for a New Age: Big Data and The Internet of Things helps you gain an understanding of the following: Implications of Big Data from a variety of new data sources (including data from sensors that are part of the Internet of Things) upon an information architecture How establishing a vision for data usage by defining a roadmap that aligns IT with line-of-business needs is a key early step The importance and details of taking a step-by-step approach when dealing with shifting business challenges and changing technology capabilities How to mitigate risk when evaluating existing infrastructure and designing and deploying new infrastructure Enterprise Information Architecture for a New Age: Big Data and The Internet of Things combines practical advice with technical considerations. Author Robert Stackowiak and his team are recognized worldwide for their expertise in large data solutions, including analytics. Don’t miss your chance to read this book and gain the benefit of their advice as you look forward in thinking through your own choices and designing your own architecture to accommodate the burgeoning explosion in data that can be analyzed and converted into valuable information to drive your business forward toward success.

Big Data and Learning Analytics in Higher Education

Ben Kei Daniel
Big Data and Learning Analytics in Higher Education Book PDF

Author : Ben Kei Daniel
Publisher : Springer
Page : 272 pages
File Size : 40,9 Mb
Release : 2016-08-27
Category : Education
ISBN : 9783319065205

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Big Data and Learning Analytics in Higher Education by Ben Kei Daniel Pdf

​This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies potential issues related to academic programming, research, teaching and learning​. Big data refers to data which is fundamentally too big and complex and moves too fast for the processing capacity of conventional database systems. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns​.

Fundamental Of Data Science And Big Data Analytics

N. Narayanan Prasanth,K. Vimala Devi
Fundamental Of Data Science And Big Data Analytics Book PDF

Author : N. Narayanan Prasanth,K. Vimala Devi
Publisher : Academic Guru Publishing House
Page : 213 pages
File Size : 40,8 Mb
Release : 2023-11-29
Category : Study Aids
ISBN : 9788119843701

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Fundamental Of Data Science And Big Data Analytics by N. Narayanan Prasanth,K. Vimala Devi Pdf

The book provides a thorough, accessible, and current comprehension of Big Data for both business people and engineers. This book presents essential ideas, theories, terminology, and technologies related to Big Data. It also covers important analysis and analytics approaches. The information is rationally organized, given in clear and simple language, and backed with easily comprehensible examples. The objective of “Fundamentals of Data Science and Big Data Science” is to enhance decision-making by analyzing data. Currently, data science plays a crucial role in determining the advertisements that appear on the internet, the recommendations you get for books and films, the classification of emails into your spam folders, as well as the pricing of health insurance. This book provides a brief description of the developing discipline of data science, elucidating its progression, present applications, data infrastructure concerns, and legal issues. The text adopts a conversational tone and stays clear of complex mathematical ideas often associated with data science, instead focusing on straightforward explanations and real-world use cases. Upon concluding the book, readers will have acquired proficiency in controlling data, using data in the context of business challenges, and implementing optimal methodologies for data analysis. This book functions as a practical guide for Science/Engineering/MBA students, including both undergraduate and graduate students, who have an interest in the field of Data Science.

Big Data Analytics In Education

Midhun Moorthi C
Big Data Analytics In Education Book PDF

Author : Midhun Moorthi C
Publisher : Academic Guru Publishing House
Page : 220 pages
File Size : 52,7 Mb
Release : 2023-11-21
Category : Study Aids
ISBN : 9788196754884

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Big Data Analytics In Education by Midhun Moorthi C Pdf

Big data analytics refers to the application of sophisticated analytical methods to extremely extensive and heterogeneous datasets encompassing structured, semi-structured, and unstructured information. These datasets originate from various sources and range in size from terabytes to zettabytes. With the purpose of facilitating data-driven decision making, big data analytics entails the identification of correlations, trends, and patterns in vast quantities of unprocessed data. These procedures employ well-known statistical analysis methods, such as regression and clustering, and employ more sophisticated instruments to implement them on larger datasets. Since software and hardware advancements enabled organisations to manage vast quantities of unstructured data in the early 2000s, big data has been a popular term. Subsequently, the proliferation of emerging technologies, such as smartphones and Amazon, has further augmented the considerable volumes of data accessible to organisations. For the storage and processing of big data, early innovation initiatives such as Hadoop, Spark, and NoSQL databases were developed in response to the data deluge. Data engineers are constantly inventing new methods to process and integrate the massive volumes of complicated data generated by many sources, such as the internet, smart devices, transactions, networks, and sensors. Presently, emergent technologies such as machine learning are being integrated with big data analytics methods in order to uncover and escalate the magnitude of more intricate insights.

Big Data Technologies for Monitoring of Computer Security: A Case Study of the Russian Federation

Sergei Petrenko
Big Data Technologies for Monitoring of Computer Security A Case Study of the Russian Federation Book PDF

Author : Sergei Petrenko
Publisher : Springer
Page : 249 pages
File Size : 54,8 Mb
Release : 2018-05-17
Category : Computers
ISBN : 9783319790367

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Big Data Technologies for Monitoring of Computer Security: A Case Study of the Russian Federation by Sergei Petrenko Pdf

This timely book offers rare insight into the field of cybersecurity in Russia -- a significant player with regard to cyber-attacks and cyber war. Big Data Technologies for Monitoring of Computer Security presents possible solutions to the relatively new scientific/technical problem of developing an early-warning cybersecurity system for critically important governmental information assets. Using the work being done in Russia on new information security systems as a case study, the book shares valuable insights gained during the process of designing and constructing open segment prototypes of this system. Most books on cybersecurity focus solely on the technical aspects. But Big Data Technologies for Monitoring of Computer Security demonstrates that military and political considerations should be included as well. With a broad market including architects and research engineers in the field of information security, as well as managers of corporate and state structures, including Chief Information Officers of domestic automation services (CIO) and chief information security officers (CISO), this book can also be used as a case study in university courses.