Blockchain Basics: A Non-Technical Introduction in 25 Steps

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Apress, Mar 14, 2017 - Computers - 255 pages
3 Reviews
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In 25 concise steps, you will learn the basics of blockchain technology. No mathematical formulas, program code, or computer science jargon are used. No previous knowledge in computer science, mathematics, programming, or cryptography is required. Terminology is explained through pictures, analogies, and metaphors.

This book bridges the gap that exists between purely technical books about the blockchain and purely business-focused books. It does so by explaining both the technical concepts that make up the blockchain and their role in business-relevant applications.

What You'll Learn

  • What the blockchain is
  • Why it is needed and what problem it solves
  • Why there is so much excitement about the blockchain and its potential
  • Major components and their purpose
  • How various components of the blockchain work and interact
  • Limitations, why they exist, and what has been done to overcome them
  • Major application scenarios

Who This Book Is For

Everyone who wants to get a general idea of what blockchain technology is, how it works, and how it will potentially change the financial system as we know it


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LibraryThing Review

User Review  - nmarun - LibraryThing

I found the content of this book great for beginners like me. It helped me understand the intricacies of blockchain data structure. The author starts by conveying the limitations of centralized ... Read full review

User Review - Flag as inappropriate

Amazing book! Precise and straightforward. If you are starting in Blockchain technology, this guide will help you learn fast because it has a didactic approach. The use of metaphors makes it even more fun. A must-have in your cryptolibrary!


Terminology and Technical Foundations
Why the Blockchain Is Needed
How the Blockchain Works
Limitations and How to Overcome Them
Using the Blockchain Summary and Outlook

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Common terms and phrases

About the author (2017)

Daniel Drescher is an experienced banking professional who has held positions in electronic security trading in a range of banks. His recent activities have focused on automation, machine learning and big data in the context of security trading. Amongst others, Daniel holds a Doctorate in Econometrics from the Technical University of Berlin and an MSc in Software Engineering from the University of Oxford.