1Chapter 1. Overview Of Big Data - Exploring The Big Data
456.4 Is big data dangerous?
21.1 Know about Big Data
466.5 Understanding the risks
31.2 Engaging Big data
476.6 Recognising the risks from every angle
41.3 Big data analytics
48and Preventing them
51.4 Big data impacts
496.7 Summary
61.5 Positive and negative impacts
506.6 Inquiries
71.6 Summary
51Chapter 7. Big Data In Health Care
81.7 Inquiries
527.1 Management and future prospects
9Chapter 2. The Public Relations- Big Data Revolution
537.2 Four areas of transforming healthcare
102.1 The conceptual framework
547.3 A systematic review
112.2 Unleashing the power of Big data in PR
557.4 Importance
122.3 What’s PR data mean?
567.5 Main sources of Big data in health care
132.4 The big data generation for PR
577.6 Summary
142.5 Big Data Analytics for PR
587.7 Inquiries
152.6 Providing the greatest value
59Chapter 8. Components Of Big Data
16 2.7 Moving beyond social media
608.1 Machine Learning
172.8 Summary
618.2 Why AI Machine Learning algorithms are
182.8 Inquiries
62important in Big Data analytics
19Chapter 3. Big Data Sources
638.3 NLP ( Natural Language Processing)
203.1 Top 5 sources in Big data
648.4 Business intelligence
213.2 Big data sources: Internal and External
658.5 Cloud computing
223.3 Hidden Big data sources
668.6 Big Data Ingestion
233.4 Data source in Big data
678.7 Batch and streaming
243.5 World’s biggest data source
688.8 Summary
253.6 Summary
698.9 Inquiries
263.7 Inquiries
70Chapter 9. Big Data Carrier Opportunities
27Chapter 4. Structure Of Data
719.1 Paying big data careers
284.1 Structured data
729.2 Top big data careers
294.2 Semi-Structured data
739.3 Data architect
304.3 Unstructured data
749.4 Big data engineer
314.4 Quasi- Structured data
759.5 Database manager
324.5 Summary
769.6 Database warehouse manager
334.5 Inquiries
779.7 Database developer
34Chapter 5. Why Big data?
789.8 Summary
355.1 Why Big data is a great deal?
799.9 Inquiries
365.2 Why is it so popular?
80Chapter 10.Big Data Documentation
375.3 Where did it come from?
8110.1 Data sets
385.4 Why is it important in today’s era?
8210.2 Datasets for big data tasks
395.5 Summary
8310.3 Public data sets for data Visualization
405.6 Inquiries
84initiatives
41Chapter 6. Types of tools used in Big data
8510.4 Pivot tables
426.1 Software framework
8610.5 Inquiries
436.2 Big data analytics application
87Glossary
446.3 Risks of big data
