Michael G. Solomon

Blockchain Data Analytics For Dummies (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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!

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 352
• Erscheinungstermin: 2. September 2020
• Englisch
• ISBN-13: 9781119651789
• Artikelnr.: 60113320

Autorenporträt

Michael G. Solomon, PhD, is a professor at the University of the Cumberlands who specializes in courses on blockchain and distributed computing systems as well as computer security. He holds numerous security and project management certifications and has written several books on security and project management, including Ethereum For Dummies.

Inhaltsangabe

Introduction 1

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