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Informationen zum Autor Judith Hurwitz is an expert in cloud computing, information management, and business strategy. Alan Nugent has extensive experience in cloud-based big data solutions. Dr. Fern Halper specializes in big data and analytics. Marcia Kaufman specializes in cloud infrastructure, information management, and analytics. Klappentext Find the right big data solution for your business or organizationBig 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 empoweringBig Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization. Zusammenfassung 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. Inhaltsverzeichnis Introduction 1 About This Book 2 Foolish Assumptions 2 How This Book Is Organized 3 Part I: Getting Started with Big Data 3 Part II: Technology Foundations for Big Data 3 Part III: Big Data Management 3 Part IV: Analytics and Big Data 4 Part V: Big Data Implementation 4 Part VI: Big Data Solutions in the Real World 4 Part VII: The Part of Tens 4 Glossary 4 Icons Used in This Book 5 Where to Go from Here 5 Part I: Getting Started with Big Data 7 Chapter 1: Grasping the Fundamentals of Big Data 9 The Evolution of Data Management 10 Understanding the Waves of Managing Data 11 Wave 1: Creating manageable data structures 11 Wave 2: Web and content management 13 Wave 3: Managing big data 14 Defining Big Data 15 Building a Successful Big Data Management Architecture 16 Beginning with capture, organize, integrate, analyze, and act 16 Setting the architectural foundation 17 Performance matters 20 Traditional and advanced analytics 22 The Big Data Journey 23 Chapter 2: Examining Big Data Types 25 Defining Structured Data 26 Exploring sources of big structured data 26 Understanding the role of relational databases in big data 27 Defining Unstructured Data 29 Exploring sources of unstructured data 29 Understanding the role of a CMS in big data management 31 Looking at Real-Time and Non-Real-Time Requirements 32 Putting Big Data Together 33 Managing different data types 33 Integrating data types into a big data environment 34 Chapter 3: Old Meets New: Distributed Computing 37 A Brief History of Distributed Computing 37 Giving thanks to DARPA 38 The value of a consistent model 39 Understanding the Basics of Distributed Computing 40 Why we need distributed computing for big data 40 The changing economics...
