You're reading from Quantum Computing and Blockchain in Business Exploring the applications, challenges, and collision of quantum computing and blockchain

Product type Paperback

Published in Mar 2020

Publisher Packt

ISBN-13 9781838647766

Length 334 pages

Edition 1st Edition

Languages

Python

Tools

Blockchain

Concepts

Blockchain

Author (1):

Arunkumar Krishnakumar

View More author details

Table of Contents (20) Chapters

Preface

1. Introduction to Quantum Computing and Blockchain

2. Quantum Computing – Key Discussion Points FREE CHAPTER

3. The Data Economy

4. The Impact on Financial Services

5. Interview with Dr. Dave Snelling, Fujitsu Fellow

6. The Impact on Healthcare and Pharma

7. Interview with Dr. B. Rajathilagam, Head of AI Research, Amrita Vishwa Vidyapeetham

Conclusion

8. The Impact on Governance

9. Interview with Max Henderson, Senior Data Scientist, Rigetti and QxBranch

Conclusion

10. The Impact on Smart Cities and Environment

11. Interview with Sam McArdle, Quantum Computing Researcher at the University of Oxford

Conclusion

12. The Impact on Chemistry

13. The Impact on Logistics

14. Interview with Dinesh Nagarajan, Partner, IBM

Conclusion

15. Quantum-Safe Blockchain

16. Nation States and Cyberwars

17. Conclusion – Blue Skies

18. Other Books You May Enjoy

19. Index

Big data

The term Big data was coined by Roger Mougalas in 2005, a year after Web 2.0 was coined. Web 2.0 was used to indicate the data era where traditional business intelligence tools were ineffective due to the size of the data they had to deal with. The same year, Yahoo developed Hadoop on Google's MapReduce with an ambition to index the World Wide Web. Hadoop is an open source framework that can handle both structured and unstructured data.

Structured data is identified by well-defined data types, data rules, and controls that they would adhere to. Structured data typically sits in databases where the exact parameters of data are predefined. Oracle, Microsoft SQL Server, and several other database management systems were very focused on dealing with structured data.

Unstructured data does not have the same level of structural discipline, primarily because of the way it is generated. Unstructured data comes in all shapes and forms most of the data that exists...