Blockchain Data Analytics For Dummies
1. Edition November 2020
352 Pages, Softcover
General Reading
Further versions
Get ahead of the curve--learn about big data on the blockchain
Blockchain came to prominence as the disruptive technology that made cryptocurrencies work. Now, data pros are using blockchain technology for faster real-time analysis, better data security, and more accurate predictions. Blockchain Data Analytics For Dummies is your quick-start guide to harnessing the potential of blockchain.
Inside this book, technologists, executives, and data managers will find information and inspiration to adopt blockchain as a big data tool. Blockchain expert Michael G. Solomon shares his insight on what the blockchain is and how this new tech is poised to disrupt data. Set your organization on the cutting edge of analytics, before your competitors get there!
* Learn how blockchain technologies work and how they can integrate with big data
* Discover the power and potential of blockchain analytics
* Establish data models and quickly mine for insights and results
* Create data visualizations from blockchain analysis
Discover how blockchains are disrupting the data world with this exciting title in the trusted For Dummies line!
Part 1: Intro to Analytics and Blockchain 5
Chapter 1: Driving Business with Data and Analytics 7
Chapter 2: Digging into Blockchain Technology 19
Chapter 3: Identifying Blockchain Data with Value 39
Chapter 4: Implementing Blockchain Analytics in Business 57
Chapter 5: Interacting with Blockchain Data 79
Part 2: Fetching Blockchain Chain 105
Chapter 6: Parsing Blockchain Data and Building the Analysis Dataset 107
Chapter 7: Building Basic Blockchain Analysis Models 121
Chapter 8: Leveraging Advanced Blockchain Analysis Models 139
Part 3: Analyzing and Visualizing Blockchain Analysis Data 151
Chapter 9: Identifying Clustered and Related Data 153
Chapter 10: Classifying Blockchain Data 171
Chapter 11: Predicting the Future with Regression 189
Chapter 12: Analyzing Blockchain Data over Time 209
Part 4: Implementing Blockchain Analysis Models 223
Chapter 13: Writing Models from Scratch 225
Chapter 14: Calling on Existing Frameworks 239
Chapter 15: Using Third-Party Toolsets and Frameworks 251
Chapter 16: Putting It All Together 267
Part 5: The Part of Tens 279
Chapter 17: Ten Tools for Developing Blockchain Analytics Models 281
Chapter 18: Ten Tips for Visualizing Data 295
Chapter 19: Ten Uses for Blockchain Analytics 305
Index 315
