1Chapter 1. Big Data
677.6 Data Sharing
21.1 Introduction
687.7 Summary
31.2 What is big data?
697.8 Exercise
41.3 Sources of big data
70Chapter 8. Healthcare and Big Data Management
51.4 Data Sharing, Privacy, and Ethics
718.1 Introduction
61.5 Analytics of big data
728.2 The 5Vs of Healthcare Big Data
71.6 How big data is stored
73Characteristics
81.7 Predictions by Use of Big Data
748.3 Big Data Challenges in Healthcare
91.8 Why We Need Big Data?
758.4 Big Data Analytics in Healthcare
101.9 Summary
768.5 Application of Big Data Analytics in
111.10 Exercise
77Healthcare
12Chapter 2. A Model for Big Data
788.6 Summary
132.1 Introduction
798.7 Exercise
142.2 Strategy
80Chapter 9. The Strategic Business Value of Big Data
152.3 Style
819.1 Introduction
162.4 Staff
829.2 Strategic and Organizational Opportunities
172.5 Statistical Thinking
839.3 Big Data Strategies
182.6 Synthesis
849.4 Decision Making Under Big Data
192.7 Systems
859.5 Industry Applications
202.8 Sources
869.6 Summary
212.9 Security
879.7 Exercise
222.10 Summary
88Chapter 10. Big Data Integration
232.11 Exercise
8910.1 Introduction
24Chapter 3. Big Data Management, Benefits, and Challenges
9010.2 Traditional Data integration
253.1 Introduction
9110.3 Big Data Integration
263.2 Opportunities of big data
9210.4 BDI: Challenges
273.3 Challenges Of Big Data
9310.5 Data integration: architecture & three
283.4 How Amazon is solving big-data challenges
94major steps
29with data lakes
9510.6 Data Integration Tools
303.5 Summary
9610.7 BDI: Emerging Topics
313.6 Exercise
9710.8 Summary
32Chapter 4. Visualizing Big Data
9810.9 Exercise
334.1 Introduction
99Chapter 11. Security in Big Data and cloud Computing Challenges, Solutions, and Open Problems
344.2 Case Study Data: Dominick’s Finer Foods
10011.1 Introduction
354.3 Big Data: Pre-processing and Management
10111.2 Cloud Computing
364.4 Big Data Visualization
10211.3 What Makes Cloud Security Different?
374.5 Challenges Of Big Data Visualization
10311.4 Research Questions In Cloud Security
384.6 Big Data Visualization Tools
10411.5 Open Problems
394.7 Summary
10511.6 Summary
404.8 Exercise
10611.7 Exercise
41Chapter 5. Ethical Concerns In Big Data Management
107Chapter 12. Big data: Big Issues and Big Problems
425.1 Introduction
10812.1 Introduction
435.2 Big data and data analytics
10912.2 Privacy: Big Data = Big Brother?
445.3 Ethical concerns in big data management
11012.3 Big Security Concerns
455.4 Addressing the issue of ‘ethics in big data’
11112.4 Big, Pragmatic Issues
46through involving stakeholders
11212.5 Rise of the Machines: Big Employee Resistance
475.5 Ethical principles challenged by big
11312.6 Summary
48data research
11412.7 Exercise
495.6 Moves Toward Possible Solutions
115Chapter 13. Looking Forward: The Future of Big Data
505.7 Summary
11613.1 Introduction
515.8 Exercise
11713.2 Predicting Pregnancy
52Chapter 6. Importance of Big Data Management and Analysis
118 13.3 Big Data Is Here to Stay
536.1 Introduction
11913.4 Projects and Movements
546.2 Big Data Impact on Storage Infrastructure
12013.5 Big Data Will Only Get Bigger . . . and Smarter
556.3 Big Data Analysis and Management
12113.6 Summary
566.4 Highlighting the Importance of Big Data
12213.7 Exercise
57Management and Analysis for Various
123Chapter 14. Data Mining Techniques For Big Data
58Applications
12414.1 Introduction
596.5 Summary
12514.2 Data Mining And Big Data
606.6 Exercise
12614.3 Big Data Tools
61Chapter 7. A Review on Big Data Security and Privacy in Healthcare Applications
12714.4 Challenges To Handle Big Data
627.1 Introduction
12814.5 Data Mining Techniques To Handle Big Data
637.2 Big Data Technologies
12914.6 Big Data Mining Tools
647.3 Security and Privacy Issues in Big Data
13014.7 Summary
657.4 Data Leakage
13114.8 Exercise
667.5 Data Privacy
132Glossary
