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.

Teaches core concepts and uses of blockchain technology, without relying on mathematical formulas or computer science jargon

Shows how financial and commercial applications of the blockchain work in practice

Teaches the essential blockchain format underlying all the technology's specific applications

Stage 1: Terminology and Technical Foundations.- Step 1: Thinking in Layers and Aspects.- Step 2: Seeing the Big Picture.- Step 3: Recognizing the Potential.- Stage 2: Why the Blockchain Is Needed.- Step 4: Discovering the Core Problem.- Step 5: Disambiguating the Term.- Step 6: Understanding the Nature of Ownership.- Step 7: Spending Money Twice.- Stage 3: How the Blockchain Works.- Step 8: Planning the Blockchain.- Step 9: Documenting Ownership.- Step 10: Hashing Data.- Step 11: Hashing in the Real World.- Step 12: Identifying and Protecting User Accounts.- Step 13: Authorizing Transactions.- Step 14: Storing Transaction Data.- Step 15: Using the Data Store.- Step 16: Protecting the Data Store.- Step 17: Distributing the Data Store Among Peers.- Step 18: Verifying and Adding Transactions.- Step 19: Choosing a Transaction History.- Step 20: Paying for Integrity.- Step 21: Bringing the Pieces Together.- Stage 4: Limitations and Their Solutions.- Step 22: Seeing the Limitations.- Step 23: Reinventing the Blockchain.- Stage 5: Using the Blockchain, Summary, and Outlook.- Step 24: Using the Blockchain.- Step 25: Summarizing and Going Further.- Bibliography.-