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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.
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.
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.
Part I: Getting Started with Big Data 7
Chapter 1: Grasping the Fundamentals of Big Data 9
Chapter 2: Examining Big Data Types 25
Chapter 3: Old Meets New: Distributed Computing 37
Part II: Technology Foundations for Big Data 45
Chapter 4: Digging into Big Data Technology Components 47
Chapter 5: Virtualization and How It Supports Distributed Computing 61
Chapter 6: Examining the Cloud and Big Data 71
Part III: Big Data Management 83
Chapter 7: Operational Databases 85
Chapter 8: MapReduce Fundamentals 101
Chapter 9: Exploring the World of Hadoop 111
Chapter 10: The Hadoop Foundation and Ecosystem 121
Chapter 11: Appliances and Big Data Warehouses 129
Part IV: Analytics and Big Data 139
Chapter 12: Defi ning Big Data Analytics 141
Chapter 13: Understanding Text Analytics and Big Data 153
Chapter 14: Customized Approaches for Analysis of Big Data 167
Part V: Big Data Implementation 179
Chapter 15: Integrating Data Sources 181
Chapter 16: Dealing with Real-Time Data Streams and Complex Event Processing 193
Chapter 17: Operationalizing Big Data 201
Chapter 18: Applying Big Data within Your Organization 211
Chapter 19: Security and Governance for Big Data Environments 225
Part VI: Big Data Solutions in the Real World 235
Chapter 20: The Importance of Big Data to Business 237
Chapter 21: Analyzing Data in Motion: A Real-World View 245
Chapter 22: Improving Business Processes with Big Data Analytics: A Real-World View 255
Part VII: The Part of Tens 263
Chapter 23: Ten Big Data Best Practices 265
Chapter 24: Ten Great Big Data Resources 271
Chapter 25: Ten Big Data Do's and Don'ts 275
Glossary 279
Index 295
| Erscheinungsjahr: | 2013 |
|---|---|
| Fachbereich: | Anwendungs-Software |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 336 |
| Inhalt: | 315 S. |
| ISBN-13: | 9781118504222 |
| ISBN-10: | 1118504224 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Hurwitz, Judith S
Nugent, Alan Halper, Fern Kaufman, Marcia |
| Hersteller: |
Wiley
John Wiley & Sons |
| Maße: | 235 x 191 x 19 mm |
| Von/Mit: | Judith S Hurwitz (u. a.) |
| Erscheinungsdatum: | 15.04.2013 |
| Gewicht: | 0,633 kg |
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.
Part I: Getting Started with Big Data 7
Chapter 1: Grasping the Fundamentals of Big Data 9
Chapter 2: Examining Big Data Types 25
Chapter 3: Old Meets New: Distributed Computing 37
Part II: Technology Foundations for Big Data 45
Chapter 4: Digging into Big Data Technology Components 47
Chapter 5: Virtualization and How It Supports Distributed Computing 61
Chapter 6: Examining the Cloud and Big Data 71
Part III: Big Data Management 83
Chapter 7: Operational Databases 85
Chapter 8: MapReduce Fundamentals 101
Chapter 9: Exploring the World of Hadoop 111
Chapter 10: The Hadoop Foundation and Ecosystem 121
Chapter 11: Appliances and Big Data Warehouses 129
Part IV: Analytics and Big Data 139
Chapter 12: Defi ning Big Data Analytics 141
Chapter 13: Understanding Text Analytics and Big Data 153
Chapter 14: Customized Approaches for Analysis of Big Data 167
Part V: Big Data Implementation 179
Chapter 15: Integrating Data Sources 181
Chapter 16: Dealing with Real-Time Data Streams and Complex Event Processing 193
Chapter 17: Operationalizing Big Data 201
Chapter 18: Applying Big Data within Your Organization 211
Chapter 19: Security and Governance for Big Data Environments 225
Part VI: Big Data Solutions in the Real World 235
Chapter 20: The Importance of Big Data to Business 237
Chapter 21: Analyzing Data in Motion: A Real-World View 245
Chapter 22: Improving Business Processes with Big Data Analytics: A Real-World View 255
Part VII: The Part of Tens 263
Chapter 23: Ten Big Data Best Practices 265
Chapter 24: Ten Great Big Data Resources 271
Chapter 25: Ten Big Data Do's and Don'ts 275
Glossary 279
Index 295
| Erscheinungsjahr: | 2013 |
|---|---|
| Fachbereich: | Anwendungs-Software |
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 336 |
| Inhalt: | 315 S. |
| ISBN-13: | 9781118504222 |
| ISBN-10: | 1118504224 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Hurwitz, Judith S
Nugent, Alan Halper, Fern Kaufman, Marcia |
| Hersteller: |
Wiley
John Wiley & Sons |
| Maße: | 235 x 191 x 19 mm |
| Von/Mit: | Judith S Hurwitz (u. a.) |
| Erscheinungsdatum: | 15.04.2013 |
| Gewicht: | 0,633 kg |
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