Solomon M.G. Blockchain Data Analytics for Dummies

Canada: Wiley, For Dummies, 2020. — 601 p. — ISBN: 978-1-119-65177-2.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!Intro to Analytics and Blockchain
Driving Business with Data and Analytics
Digging into Blockchain Technology
Identifying Blockchain Data with Value
Implementing Blockchain Analytics in Business
Interacting with Blockchain Data
Fetching Blockchain Chain
Parsing Blockchain Data and Building the Analysis Dataset
Building Basic Blockchain Analysis Models
Leveraging Advanced Blockchain Analysis Models
Analyzing and Visualizing Blockchain Analysis Data
Identifying Clustered and Related Data
Classifying Blockchain Data
Predicting the Future with Regression
Analyzing Blockchain Data over Time
Implementing Blockchain Analysis Models
Writing Models from
Calling on Existing Frameworks
Using Third-Party Toolsets and Frameworks
Putting It All Together
The Part of Tens
Ten Tools for Developing Blockchain Analytics Models
Ten Tips for Visualizing Data
Ten Uses for Blockchain Analytics