| Description |
1 online resource (472 pages). |
| Series |
For dummies |
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--For dummies.
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| Summary |
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 m. |
| Contents |
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. |
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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. |
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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. |
| Subject |
Big data.
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Database management.
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Electronic data processing -- Distributed processing.
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Data mining.
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Données volumineuses. |
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Bases de données -- Gestion. |
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Traitement réparti. |
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Exploration de données (Informatique) |
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Big data |
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Data mining |
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Database management |
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Electronic data processing -- Distributed processing |
| Added Author |
Kaufman, Marcia.
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Halper, Fern.
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Kirsch, Dan.
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| Other Form: |
Print version: 9781118504222 |
| ISBN |
9781118644010 |
|
1118644018 |
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9781118644171 (ebk) |
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1118644174 (ebk) |
|
9781118643969 (ebk) |
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1118643968 (ebk) |
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1118504224 |
|
9781118504222 |
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