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Develop, test, and deploy decentralized applications for Ethereum platform About This Book Build your first Ethereum Dapp with Truffle: the most popular Ethereum development framework Build, compile, and deploy smart contracts in your development environment Embrace Blockchains and utilize it to create new generation of secured and scalable apps Who This Book Is For This book is for web developers who are interested in the new world blockchain. Some basic understanding of JavaScript and web services is required. No prior knowledge of Decentralized applications or blockchain is required. What You Will Learn Understand the fundamentals of Truffle and Web3 Build a decentralized application with Truffle, while choosing the correct Ethereum client Connect your Dapp to Ethereum clients including Geth, Parity, and Ganache Migrate and test your Dapp with the correct networks such as Ropsten and Rinkeby Package a decentralized application into a user-friendly product by integrating Truffle with JavaScript frameworks such as Angular, React and Vue Explore tools including Ethereum Package Manager, the Registrar and browser wallets, and exploit third-party smart contract libraries. Evaluate the common migration pitfalls and how to mitigate them In Detail Truffle is a world-class development environment, testing framework and asset pipeline for Ethereum, aiming to make life as an Ethereum developer easier. If you are a web developer wanting to try your hand at developing Dapps with Truffle, then this is the book for you. This book will teach you to write smart contracts and build Dapps with Truffle. You will begin with covering the basics of Truffle, briefly explaining how it integrates Solidity and Web3, in orderto start building a mini decentralized application. Also, you will dive into migration, testing and integrating Truffle with the use of popular JavaScript frameworks. Lastly, you will ship your decentralized application and package it into a product. Moreover, you will go through the best practices in Truffle,so as to increase your proficiency in building Dapps with Truffle. By the end of the book, you will be able to write smart contracts and build decentralized applications with Truffle on Ethereum blockchains. Style and approach An intuitive, step-by-step and engaging guide that will teach you to build a real-world, decentralized application with Truffle.

Distributed databases. --- Distributed data bases --- Distributed database systems --- Databases --- Cyberinfrastructure

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Build a core level of competency in SQL so you can recognize the parts of queries and write simple SQL statements. SQL knowledge is essential for anyone involved in programming, data science, and data management. This book covers features of SQL that are standardized and common across most database vendors. You will gain a base of knowledge that will prepare you to go deeper into the specifics of any database product you might encounter. Examples in the book are worked in PostgreSQL and SQLite, but the bulk of the examples are platform agnostic and will work on any database platform supporting SQL. Early in the book you learn about table design, the importance of keys as row identifiers, and essential query operations. You then move into more advanced topics such as grouping and summarizing, creating calculated fields, joining data from multiple tables when it makes business sense to do so, and more. Throughout the book, you are exposed to a set-based approach to the language and are provided a good grounding in subtle but important topics such as the effects of null value on query results. With the explosion of data science, SQL has regained its prominence as a top skill to have for technologists and decision makers worldwide. SQL Primer will guide you from the very basics of SQL through to the mainstream features you need to have a solid, working knowledge of this important, data-oriented language. What You'll Learn: Create and populate your own database tables Read SQL queries and understand what they are doing Execute queries that get correct results Bring together related rows from multiple tables Group and sort data in support of reporting applications Get a grip on nulls, normalization, and other key concepts Employ subqueries, unions, and other advanced features.

Computer science. --- Database management. --- Computer Science. --- Database Management. --- SQL (Computer program language) --- Relational databases. --- Relational data bases --- Databases --- Structured Query Language (Computer program language) --- Declarative programming languages --- Query languages (Computer science) --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing

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Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V’s of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology. Veracity of Big Data serves as an introduction to machine learning algorithms and diverse techniques such as the Kalman filter, SPRT, CUSUM, fuzzy logic, and Blockchain, showing how they can be used to solve problems in the veracity domain. Using examples, the math behind the techniques is explained in easy-to-understand language. Determining the truth of big data in real-world applications involves using various tools to analyze the available information. This book delves into some of the techniques that can be used. Microblogging websites such as Twitter have played a major role in public life, including during presidential elections. The book uses examples of microblogs posted on a particular topic to demonstrate how veracity can be examined and established. Some of the techniques are described in the context of detecting veiled attacks on microblogging websites to influence public opinion. What You'll Learn: Understand the problem concerning data veracity and its ramifications Develop the mathematical foundation needed to help minimize the impact of the problem using easy-to-understand language and examples Use diverse tools and techniques such as machine learning algorithms, Blockchain, and the Kalman filter to address veracity issues.

Computer science. --- Computers. --- Computer Science. --- Big Data. --- Computing Methodologies. --- Databases --- Evaluation. --- Data banks --- Data bases --- Databanks --- Database systems --- Computer files --- Electronic information resources --- Big data. --- Artificial intelligence. --- Artificial Intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Data sets, Large --- Large data sets --- Data sets

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This book offers readers a comprehensive guide to the evolution of the database field from its earliest stages up to the present—and from classical relational database management systems to the current Big Data metaphor. In particular, it gathers the most significant research from the Italian database community that had relevant intersections with international projects. Big Data technology is currently dominating both the market and research. The book provides readers with a broad overview of key research efforts in modelling, querying and analysing data, which, over the last few decades, have became massive and heterogeneous areas.

Engineering. --- Big data. --- Data mining. --- Artificial intelligence. --- Computational intelligence. --- Computational Intelligence. --- Big Data. --- Artificial Intelligence (incl. Robotics). --- Big Data/Analytics. --- Data Mining and Knowledge Discovery. --- Intelligence, Computational --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Data sets, Large --- Large data sets --- Construction --- Artificial intelligence --- Soft computing --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Database searching --- Industrial arts --- Technology --- Data sets --- Artificial Intelligence. --- Databases --- Research. --- Data banks --- Data bases --- Databanks --- Database systems --- Computer files --- Electronic information resources --- Quantitative research. --- Data Analysis and Big Data. --- Data analysis (Quantitative research) --- Exploratory data analysis (Quantitative research) --- Quantitative analysis (Research) --- Quantitative methods (Research) --- Research

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Explore the Ethereum ecosystem step by step with extensive theory, labs, and live use cases. This book takes you through BlockChain concepts; decentralized applications; Ethereum’s architecture; Solidity smart contract programming with examples; and testing, debugging, and deploying smart contracts on your local machine and on the cloud. You’ll cover best practices for writing contracts with ample examples to allow you to write high-quality contracts with optimal usage of fuel. In later chapters, Ethereum for Architects and Developers covers use cases from different business areas, such as finance, travel, supply-chain, insurance, and land registry. Many of these sectors are explained with flowcharts, diagrams, and sample code that you can refer to and further enhance in live projects. By the end of the book, you will have enough information to use Ethereum to create value for your business processes and build foolproof data storage for smoother execution of business. You will: Discover key BlockChain concepts Master the architecture, building blocks, and ecosystem of Ethereum Develop smart contracts from scratch Debug, test, and deploy to test Take advantage of Ethereum in your business area .

Blockchains (Databases) --- Electronic data processing --- Distributed databases. --- Distributed processing. --- Distributed data bases --- Distributed database systems --- Databases --- Cyberinfrastructure --- Distributed computer systems in electronic data processing --- Distributed computing --- Distributed processing in electronic data processing --- Computer networks --- Block chains (Databases) --- Database security --- Distributed databases --- Computer science. --- Open source software. --- Computer programming. --- Computer Applications. --- Programming Languages, Compilers, Interpreters. --- Open Source. --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Free software (Open source software) --- Open code software --- Opensource software --- Computer software --- Informatics --- Science --- Programming --- Application software. --- Programming languages (Electronic computers). --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Languages, Artificial --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Compilers (Computer programs). --- Computer and Information Systems Applications. --- Compilers and Interpreters. --- Compiling programs (Computer programs) --- Computer programs --- Programming software --- Systems software