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18 Contents

Groupware 560
Collaborative Workflow 560
Web 2.0 560
Wikis 561
Collaborative Networks 561
12.8 Direct Computerized Support for Decision Making:
From Group Decision Support Systems to Group Support
Systems 562
Group Decision Support Systems (GDSS) 562
Group Support Systems 563
How GDSS (or GSS) Improve Groupwork 563
Facilities for GDSS 564
Chapter Highlights 565 • Key Terms 566
Questions for Discussion 566 • Exercises 566
▶ end-of-chApter ApplicAtion cAse Solving Crimes by Sharing
Digital Forensic Knowledge 567
References 569

Part V Big Data and Future Directions for Business
analytics 571

Chapter 13 Big Data and Analytics 572
13.1 Opening Vignette: Big Data Meets Big Science at CERN 573
13.2 Definition of Big Data 576
The Vs That Define Big Data 577
▶ ApplicAtion cAse 13.1 Big Data Analytics Helps Luxottica Improve
Its Marketing Effectiveness 580
13.3 Fundamentals of Big Data Analytics 581
Business Problems Addressed by Big Data Analytics 584
▶ ApplicAtion cAse 13.2 Top 5 Investment Bank Achieves Single
Source of Truth 585
13.4 Big Data Technologies 586
MapReduce 587
Why Use MapReduce? 588
Hadoop 588
How Does Hadoop Work? 588
Hadoop Technical Components 589
Hadoop: The Pros and Cons 590
NoSQL 592
▶ ApplicAtion cAse 13.3 eBay’s Big Data Solution 593
13.5 Data Scientist 595
Where Do Data Scientists Come From? 595
▶ ApplicAtion cAse 13.4 Big Data and Analytics in Politics 598
13.6 Big Data and Data Warehousing 599
Use Case(s) for Hadoop 600
Use Case(s) for Data Warehousing 601

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