Getting A Big Data Job For Dummies

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Getting a Big Data Job For Dummies

Author : Jason Williamson
Publisher : John Wiley & Sons
ISBN 13 : 1118903404
Total Pages : 264 pages
Book Rating : 4.1/5 (189 download)

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Book Synopsis Getting a Big Data Job For Dummies by : Jason Williamson

Download or read book Getting a Big Data Job For Dummies written by Jason Williamson and published by John Wiley & Sons. This book was released on 2014-12-31 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hone your analytic talents and become part of the next big thing Getting a Big Data Job For Dummies is the ultimate guide to landing a position in one of the fastest-growing fields in the modern economy. Learn exactly what "big data" means, why it's so important across all industries, and how you can obtain one of the most sought-after skill sets of the decade. This book walks you through the process of identifying your ideal big data job, shaping the perfect resume, and nailing the interview, all in one easy-to-read guide. Companies from all industries, including finance, technology, medicine, and defense, are harnessing massive amounts of data to reap a competitive advantage. The demand for big data professionals is growing every year, and experts forecast an estimated 1.9 million additional U.S. jobs in big data by 2015. Whether your niche is developing the technology, handling the data, or analyzing the results, turning your attention to a career in big data can lead to a more secure, more lucrative career path. Getting a Big Data Job For Dummies provides an overview of the big data career arc, and then shows you how to get your foot in the door with topics like: The education you need to succeed The range of big data career path options An overview of major big data employers A plan to develop your job-landing strategy Your analytic inclinations may be your ticket to long-lasting success. In a highly competitive job market, developing your data skills can create a situation where you pick your employer rather than the other way around. If you're ready to get in on the ground floor of the next big thing, Getting a Big Data Job For Dummies will teach you everything you need to know to get started today.

Big Data For Dummies

Author : Judith S. Hurwitz
Publisher : John Wiley & Sons
ISBN 13 : 1118644174
Total Pages : 336 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Big Data For Dummies by : Judith S. Hurwitz

Download or read book Big Data For Dummies written by Judith S. Hurwitz and published by John Wiley & Sons. This book was released on 2013-04-02 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.

Python for Data Science For Dummies

Author : John Paul Mueller
Publisher : John Wiley & Sons
ISBN 13 : 1118843983
Total Pages : 432 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Python for Data Science For Dummies by : John Paul Mueller

Download or read book Python for Data Science For Dummies written by John Paul Mueller and published by John Wiley & Sons. This book was released on 2015-06-23 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. Python for Data Science For Dummies shows you how to take advantage of Python programming to acquire, organize, process, and analyze large amounts of information and use basic statistics concepts to identify trends and patterns. You’ll get familiar with the Python development environment, manipulate data, design compelling visualizations, and solve scientific computing challenges as you work your way through this user-friendly guide. Covers the fundamentals of Python data analysis programming and statistics to help you build a solid foundation in data science concepts like probability, random distributions, hypothesis testing, and regression models Explains objects, functions, modules, and libraries and their role in data analysis Walks you through some of the most widely-used libraries, including NumPy, SciPy, BeautifulSoup, Pandas, and MatPlobLib Whether you’re new to data analysis or just new to Python, Python for Data Science For Dummies is your practical guide to getting a grip on data overload and doing interesting things with the oodles of information you uncover.

Getting Your First Job For Dummies

Author : Roberto Angulo
Publisher : John Wiley & Sons
ISBN 13 : 1119431468
Total Pages : 264 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Getting Your First Job For Dummies by : Roberto Angulo

Download or read book Getting Your First Job For Dummies written by Roberto Angulo and published by John Wiley & Sons. This book was released on 2017-12-26 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Find—and land—your first job! Finding a job can seem daunting, especially when it's a brand new experience. There's a lot to know, and often a lot of pressure. Written by the founder of AfterCollege.com, Getting Your First Job For Dummies is designed to take the stress out of the job search process and help you get an offer. In this book, you'll discover how to identify your talents and strengths, use your network to your advantage, interview with confidence, and evaluate an offer. Written in plain English and packed with step-by-step instructions, it'll have you writing customized resumes, conducting company research, and utilizing online job search sites, faster than you can say 'I got the job!' Determine what kind of job suits your interests and skills Write a compelling cover letter Know what to expect in an interview Effectively negotiate an offer Whether you're still in school or navigating the world as a recent graduate, Getting Your First Job For Dummies arms you with the skills and confidence to make getting your first job an exciting and enjoyable process.

Getting a Coding Job For Dummies

Author : Nikhil Abraham
Publisher : John Wiley & Sons
ISBN 13 : 1119121027
Total Pages : 288 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Getting a Coding Job For Dummies by : Nikhil Abraham

Download or read book Getting a Coding Job For Dummies written by Nikhil Abraham and published by John Wiley & Sons. This book was released on 2015-07-20 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your friendly guide to getting a job in coding Getting a Coding Job For Dummies explains how a coder works in (or out of) an organization, the key skills any job requires, the basics of the technologies a coding pro will encounter, and how to find formal or informal ways to build your skills. Plus, it paints a picture of the world a coder lives in, outlines how to build a resume to land a coding job, and so much more. Coding is one of the most in-demand skills in today's job market, yet there seems to be an ongoing deficit of candidates qualified to take these jobs. Getting a Coding Job For Dummies provides a road map for students, post-grads, career switchers, and anyone else interested in starting a career in coding. Inside this friendly guide, you'll find the steps needed to learn the hard and soft skills of coding—and the world of programming at large. Along the way, you'll set a clear career path based on your goals and discover the resources that can best help you build your coding skills to make you a suitable job candidate. Covers the breadth of job opportunities as a coder Includes tips on educational resources for coders and ways to build a positive reputation Shows you how to research potential employers and impress interviewers Offers access to online video, articles, and sample resume templates If you're interested in pursuing a job in coding, but don't know the best way to get there, Getting a Coding Job For Dummies is your compass!

Data Science For Dummies

Author : Lillian Pierson
Publisher : John Wiley & Sons
ISBN 13 : 1119811619
Total Pages : 436 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Data Science For Dummies by : Lillian Pierson

Download or read book Data Science For Dummies written by Lillian Pierson and published by John Wiley & Sons. This book was released on 2021-08-20 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monetize your company’s data and data science expertise without spending a fortune on hiring independent strategy consultants to help What if there was one simple, clear process for ensuring that all your company’s data science projects achieve a high a return on investment? What if you could validate your ideas for future data science projects, and select the one idea that’s most prime for achieving profitability while also moving your company closer to its business vision? There is. Industry-acclaimed data science consultant, Lillian Pierson, shares her proprietary STAR Framework – A simple, proven process for leading profit-forming data science projects. Not sure what data science is yet? Don’t worry! Parts 1 and 2 of Data Science For Dummies will get all the bases covered for you. And if you’re already a data science expert? Then you really won’t want to miss the data science strategy and data monetization gems that are shared in Part 3 onward throughout this book. Data Science For Dummies demonstrates: The only process you’ll ever need to lead profitable data science projects Secret, reverse-engineered data monetization tactics that no one’s talking about The shocking truth about how simple natural language processing can be How to beat the crowd of data professionals by cultivating your own unique blend of data science expertise Whether you’re new to the data science field or already a decade in, you’re sure to learn something new and incredibly valuable from Data Science For Dummies. Discover how to generate massive business wins from your company’s data by picking up your copy today.

Big Data at Work

Author : Thomas Davenport
Publisher : Harvard Business Review Press
ISBN 13 : 1422168174
Total Pages : 241 pages
Book Rating : 4.4/5 (221 download)

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Book Synopsis Big Data at Work by : Thomas Davenport

Download or read book Big Data at Work written by Thomas Davenport and published by Harvard Business Review Press. This book was released on 2014-02-04 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. This book will help you understand: • Why big data is important to you and your organization • What technology you need to manage it • How big data could change your job, your company, and your industry • How to hire, rent, or develop the kinds of people who make big data work • The key success factors in implementing any big data project • How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.

Getting Your First Job For Dummies

Author : Roberto Angulo
Publisher : John Wiley & Sons
ISBN 13 : 1119431301
Total Pages : 268 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Getting Your First Job For Dummies by : Roberto Angulo

Download or read book Getting Your First Job For Dummies written by Roberto Angulo and published by John Wiley & Sons. This book was released on 2017-12-07 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Find—and land—your first job! Finding a job can seem daunting, especially when it's a brand new experience. There's a lot to know, and often a lot of pressure. Written by the founder of AfterCollege.com, Getting Your First Job For Dummies is designed to take the stress out of the job search process and help you get an offer. In this book, you'll discover how to identify your talents and strengths, use your network to your advantage, interview with confidence, and evaluate an offer. Written in plain English and packed with step-by-step instructions, it'll have you writing customized resumes, conducting company research, and utilizing online job search sites, faster than you can say 'I got the job!' Determine what kind of job suits your interests and skills Write a compelling cover letter Know what to expect in an interview Effectively negotiate an offer Whether you're still in school or navigating the world as a recent graduate, Getting Your First Job For Dummies arms you with the skills and confidence to make getting your first job an exciting and enjoyable process.

Data Science Programming All-in-One For Dummies

Author : John Paul Mueller
Publisher : John Wiley & Sons
ISBN 13 : 1119626110
Total Pages : 768 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Data Science Programming All-in-One For Dummies by : John Paul Mueller

Download or read book Data Science Programming All-in-One For Dummies written by John Paul Mueller and published by John Wiley & Sons. This book was released on 2020-01-09 with total page 768 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your logical, linear guide to the fundamentals of data science programming Data science is exploding—in a good way—with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models. Data Science Programming All-In-One For Dummies is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time. Get grounded: the ideal start for new data professionals What lies ahead: learn about specific areas that data is transforming Be meaningful: find out how to tell your data story See clearly: pick up the art of visualization Whether you’re a beginning student or already mid-career, get your copy now and add even more meaning to your life—and everyone else’s!

Understanding Human Information Behavior

Author : Beth St. Jean
Publisher : Rowman & Littlefield
ISBN 13 : 1538119145
Total Pages : 329 pages
Book Rating : 4.5/5 (381 download)

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Book Synopsis Understanding Human Information Behavior by : Beth St. Jean

Download or read book Understanding Human Information Behavior written by Beth St. Jean and published by Rowman & Littlefield. This book was released on 2021-03-25 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introductory textbook aims to provide undergraduate students in information science and related disciplines with an applied grounding in information behavior. The book’s primary focus is to provide explicit links between information behavior and the careers that students will pursue within the information professions. With a deeper understanding of information behavior, students will be better equipped to address the many types of barriers that frequently prevent people from effectively and efficiently accessing, understanding, managing, and/or using the information they need in the “real world.” The first six chapters of the book provide students with the fundamental building blocks of information behavior, introduce them to important related concepts, and provide a deep dive into information literacy, digital literacy, the digital divide and digital inclusion. Chapters 7 through 12 introduce students to the scholarly communication system, providing guidance on how to find, read, and critically evaluate information behavior studies. Also explored in these chapters are the various methods used to investigate and understand people’s information behaviors. Topics covered include research design, research methods, research ethics, user needs assessment, and human-computer interaction and associated design methods. This part of the book also covers some of the major information behavior models and theories that have been developed to describe, predict, and/or explain people’s information behaviors. In chapters 13 through 16, the authors provide an in-depth look into their own information behavior research areas, including consumer health information behavior and health justice; youth information behavior; legal information behavior and access to justice; and information behavior in libraries. In the final chapter, students are first introduced to a wide range of careers within the information professions and then taken along on a deep dive into 10 specific jobs, with a special focus on the thread of information behavior that pervades the roles and responsibilities commonly associated with these positions. Each chapter begins with one or more scenarios illustrating concepts covered in the chapter and ends with discussion questions.

Big Data

Author : Viktor Mayer-Schönberger
Publisher : Houghton Mifflin Harcourt
ISBN 13 : 0544002695
Total Pages : 257 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Big Data by : Viktor Mayer-Schönberger

Download or read book Big Data written by Viktor Mayer-Schönberger and published by Houghton Mifflin Harcourt. This book was released on 2013 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A exploration of the latest trend in technology and the impact it will have on the economy, science, and society at large.

Too Big to Ignore

Author : Phil Simon
Publisher : John Wiley & Sons
ISBN 13 : 1118641868
Total Pages : 256 pages
Book Rating : 4.1/5 (186 download)

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Book Synopsis Too Big to Ignore by : Phil Simon

Download or read book Too Big to Ignore written by Phil Simon and published by John Wiley & Sons. This book was released on 2013-03-05 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.

Data Science Strategy For Dummies

Author : Ulrika Jägare
Publisher : John Wiley & Sons
ISBN 13 : 1119566274
Total Pages : 423 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Data Science Strategy For Dummies by : Ulrika Jägare

Download or read book Data Science Strategy For Dummies written by Ulrika Jägare and published by John Wiley & Sons. This book was released on 2019-06-12 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: All the answers to your data science questions Over half of all businesses are using data science to generate insights and value from big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability from scratch, starting with the “what” and the “why” of data science and covering what it takes to lead and nurture a top-notch team of data scientists. With this book, you’ll learn how to incorporate data science as a strategic function into any business, large or small. Find solutions to your real-life challenges as you uncover the stories and value hidden within data. Learn exactly what data science is and why it’s important Adopt a data-driven mindset as the foundation to success Understand the processes and common roadblocks behind data science Keep your data science program focused on generating business value Nurture a top-quality data science team In non-technical language, Data Science Strategy For Dummies outlines new perspectives and strategies to effectively lead analytics and data science functions to create real value.

Parallel and Concurrent Programming in Haskell

Author : Simon Marlow
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449335926
Total Pages : 322 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Parallel and Concurrent Programming in Haskell by : Simon Marlow

Download or read book Parallel and Concurrent Programming in Haskell written by Simon Marlow and published by "O'Reilly Media, Inc.". This book was released on 2013-07-12 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you have a working knowledge of Haskell, this hands-on book shows you how to use the language’s many APIs and frameworks for writing both parallel and concurrent programs. You’ll learn how parallelism exploits multicore processors to speed up computation-heavy programs, and how concurrency enables you to write programs with threads for multiple interactions. Author Simon Marlow walks you through the process with lots of code examples that you can run, experiment with, and extend. Divided into separate sections on Parallel and Concurrent Haskell, this book also includes exercises to help you become familiar with the concepts presented: Express parallelism in Haskell with the Eval monad and Evaluation Strategies Parallelize ordinary Haskell code with the Par monad Build parallel array-based computations, using the Repa library Use the Accelerate library to run computations directly on the GPU Work with basic interfaces for writing concurrent code Build trees of threads for larger and more complex programs Learn how to build high-speed concurrent network servers Write distributed programs that run on multiple machines in a network

Data Mining For Dummies

Author : Meta S. Brown
Publisher : John Wiley & Sons
ISBN 13 : 1118893166
Total Pages : 422 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Data Mining For Dummies by : Meta S. Brown

Download or read book Data Mining For Dummies written by Meta S. Brown and published by John Wiley & Sons. This book was released on 2014-09-04 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Delve into your data for the key to success Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the pursuit of better business. By creating models and testing whether patterns hold up, it is possible to discover new intelligence that could change your business's entire paradigm for a more successful outcome. Data Mining for Dummies shows you why it doesn't take a data scientist to gain this advantage, and empowers average business people to start shaping a process relevant to their business's needs. In this book, you'll learn the hows and whys of mining to the depths of your data, and how to make the case for heavier investment into data mining capabilities. The book explains the details of the knowledge discovery process including: Model creation, validity testing, and interpretation Effective communication of findings Available tools, both paid and open-source Data selection, transformation, and evaluation Data Mining for Dummies takes you step-by-step through a real-world data-mining project using open-source tools that allow you to get immediate hands-on experience working with large amounts of data. You'll gain the confidence you need to start making data mining practices a routine part of your successful business. If you're serious about doing everything you can to push your company to the top, Data Mining for Dummies is your ticket to effective data mining.

Small Wars, Big Data

Author : Eli Berman
Publisher : Princeton University Press
ISBN 13 : 140089011X
Total Pages : 411 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Small Wars, Big Data by : Eli Berman

Download or read book Small Wars, Big Data written by Eli Berman and published by Princeton University Press. This book was released on 2018-06-12 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Law and Economics of the Digital Transformation

Author : Klaus Mathis
Publisher : Springer Nature
ISBN 13 : 3031250591
Total Pages : 456 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Law and Economics of the Digital Transformation by : Klaus Mathis

Download or read book Law and Economics of the Digital Transformation written by Klaus Mathis and published by Springer Nature. This book was released on 2023-07-04 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book pursues the questions from a broad range of law and economics perspectives. Digital transformation leads to economic and social change, bringing with it both opportunities and risks. This raises questions of the extent to which existent legal frameworks are still sufficient and whether there is a need for new or additional regulation in the affected areas: new demands are made on the law and jurisprudence.