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Blockchain data analytics for dummies /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Solomon, Michael (Michael G.), 1963-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, New Jersey : John Wiley & Sons, [2020]
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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
  • 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
  • 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
  • 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
  • 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