| Description |
1 online resource |
| Contents |
Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Foolish Assumptions -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Intro to Analytics and Blockchain -- Chapter 1 Driving Business with Data and Analytics -- Deriving Value from Data -- Monetizing data -- Exchanging data -- Verifying data -- Understanding and Satisfying Regulatory Requirements -- Classifying individuals -- Identifying criminals -- Examining common privacy laws -- Predicting Future Outcomes with Data -- Classifying entities -- Predicting behavior |
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Making decisions based on models -- Changing Business Practices to Create Desired Outcomes -- Defining the desired outcome -- Building models for simulation -- Aligning operations and assessing results -- Chapter 2 Digging into Blockchain Technology -- Exploring the Blockchain Landscape -- Managing ownership transfer -- Doing more with blockchain -- Understanding blockchain technology -- Reviewing blockchain's family tree -- Fitting blockchain into today's businesses -- Understanding Primary Blockchain Types -- Categorizing blockchain implementations -- Describing basic blockchain type features |
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Contrasting popular enterprise blockchain implementations -- Aligning Blockchain Features with Business Requirements -- Reviewing blockchain core features -- Examining primary common business requirements -- Matching blockchain features to business requirements -- Examining Blockchain Use Cases -- Managing physical items in cyberspace -- Handling sensitive information -- Conducting financial transactions -- Chapter 3 Identifying Blockchain Data with Value -- Exploring Blockchain Data -- Understanding what's stored in blockchain blocks -- Recording transaction data |
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Dissecting the parts of a block -- Decoding block data -- Categorizing Common Data in a Blockchain -- Serializing transaction data -- Logging events on the blockchain -- Storing value with smart contracts -- Examining Types of Blockchain Data for Value -- Exploring basic transaction data -- Associating real-world meaning to events -- Aligning Blockchain Data with Real-World Processes -- Understanding smart contract functions -- Assessing smart contract event logs -- Ranking transaction and event data by its effect -- Chapter 4 Implementing Blockchain Analytics in Business |
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Aligning Analytics with Business Goals -- Leveraging newly accessible decentralized tools -- Monetizing data -- Exchanging and integrating data effectively -- Surveying Options for Your Analytics Lab -- Installing the Blockchain Client -- Installing the Test Blockchain -- Installing the Testing Environment -- Getting ready to install Truffle -- Downloading and installing Truffle -- Installing the IDE -- Chapter 5 Interacting with Blockchain Data -- Exploring the Blockchain Analytics Ecosystem -- Reviewing your blockchain lab -- Identifying analytics client options |
| Summary |
Blockchain is about to upend the world of data analytics just as it did financial record-keeping. Here's what you need to become an early adopted of blockchain as a big-data tool! Explore how blockchains store data and learn how this rich new source of data can enhance predictive analytics and real-time data analysis. You'll also find out how blockchains can help you manage your data and keep shared data more secure. Learn to implement blockchain analysis models, use third-party toolsets, assess your analysis needs, and more. -- From publisher's description |
| Notes |
Online resource; title from digital title page (viewed on September 18, 2020) |
| Subject |
Blockchains (Databases)
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COMPUTERS -- Data Science -- Data Modeling & Design.
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Blockchains (Databases)
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| Genre/Form |
handbooks.
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Handbooks and manuals
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Handbooks and manuals.
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Guides et manuels.
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| Form |
Electronic book
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| ISBN |
9781119651758 |
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1119651751 |
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