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Big Data For Dummies.
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 netw...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York :
Wiley,
2013.
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| Colección: | --For dummies.
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| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
Tabla de Contenidos:
- Cover; Title Page; Table of Contents; Introduction; Part I: Getting Started with Big Data; Chapter 1: Grasping the Fundamentals of Big Data; Chapter 2: Examining Big Data Types; Chapter 3: Old Meets New: Distributed Computing; Part II: Technology Foundations for Big Data; Chapter 4: Digging into Big Data Technology Components; Chapter 5: Virtualization and How It Supports Distributed Computing; Chapter 6: Examining the Cloud and Big Data; Part III: Big Data Management; Chapter 7: Operational Databases; Chapter 8: MapReduce Fundamentals; Chapter 9: Exploring the World of Hadoop.
- Chapter 10: The Hadoop Foundation and EcosystemChapter 11: Appliances and Big Data Warehouses; Part IV: Analytics and Big Data; Chapter 12: Defining Big Data Analytics; Chapter 13: Understanding Text Analytics and Big Data; Chapter 14: Customized Approaches for Analysis of Big Data; Part V: Big Data Implementation; Chapter 15: Integrating Data Sources; Chapter 16: Dealing with Real-Time Data Streams and Complex Event Processing; Chapter 17: Operationalizing Big Data; Chapter 18: Applying Big Data within Your Organization; Chapter 19: Security and Governance for Big Data Environments.
- Part VI: Big Data Solutions in the Real WorldChapter 20: The Importance of Big Data to Business; Chapter 21: Analyzing Data in Motion: A Real-World View; Chapter 22: Improving Business Processes with Big Data Analytics: A Real-World View; Part VII: The Part of Tens; Chapter 23: Ten Big Data Best Practices; Chapter 24: Ten Great Big Data Resources; Chapter 25: Ten Big Data Do's and Don'ts; Glossary; Cheat Sheet.