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eISBN : 9781118644171

Sommaire :
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 Ecosystem
Chapter 11: Appliances and Big Data Warehouses

Part IV: Analytics and Big Data
Chapter 12: Defi ning 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 World
Chapter 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
Index

Langue : Anglais

Lieu d'édition : TORONTO

Localisation : Bibliothèque Campus de Nice

Support : Numérique

Etat : Présent

Propriétaire : Bibliothèque