{"product_id":"modern-big-data-architectures-9781119597841","title":"Modern Big Data Architectures","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eProvides an up-to-date analysis of big data and multi-agent systems\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe term Big Data refers to the cases, where data sets are too large or too complex for traditional data-processing software. With the spread of new concepts such as Edge Computing or the Internet of Things, production, processing and consumption of this data becomes more and more distributed. As a result, applications increasingly require multiple agents that can work together. A multi-agent system (MAS) is a self-organized computer system that comprises multiple intelligent agents interacting to solve problems that are beyond the capacities of individual agents. \u003ci\u003eModern Big Data Architectures \u003c\/i\u003eexamines modern concepts and architecture for Big Data processing and analytics.\u003c\/p\u003e \u003cp\u003eThis unique, up-to-date volume provides joint analysis of big data and multi-agent systems, with emphasis on distributed, intelligent processing of very large data sets. Each chapter contains practical examples and deta\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eList of Figures ix\u003c\/p\u003e \u003cp\u003eList of Tables xi\u003c\/p\u003e \u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003eAcknowledgments xv\u003c\/p\u003e \u003cp\u003eAcronyms xvii\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Motivation 1\u003c\/p\u003e \u003cp\u003e1.2 Assumptions 3\u003c\/p\u003e \u003cp\u003e1.3 For Whom is This Book? 4\u003c\/p\u003e \u003cp\u003e1.4 Book Structure 4\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Evolution of IT Architectures and Paradigms 7\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Evolution of IT Architectures 7\u003c\/p\u003e \u003cp\u003e2.1.1 Monolith 7\u003c\/p\u003e \u003cp\u003e2.1.2 Service Oriented Architecture 9\u003c\/p\u003e \u003cp\u003e2.1.3 Microservices 12\u003c\/p\u003e \u003cp\u003e2.2 Actors and Agents 15\u003c\/p\u003e \u003cp\u003e2.2.1 Actors 15\u003c\/p\u003e \u003cp\u003e2.2.2 Agents 17\u003c\/p\u003e \u003cp\u003e2.3 From ACID to BASE, CAP, and NoSQL – The Database (R)evolution 22\u003c\/p\u003e \u003cp\u003e2.4 The Cloud 24\u003c\/p\u003e \u003cp\u003e2.5 From Distributed Sensor Networks to the Internet of Things and Cyber-Physical Systems 27\u003c\/p\u003e \u003cp\u003e2.6 The Rise of Big Data 28\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Sources of Data 31\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 The Internet 32\u003c\/p\u003e \u003cp\u003e3.1.1 The Semantic Web 32\u003c\/p\u003e \u003cp\u003e3.1.2 Linked Data 35\u003c\/p\u003e \u003cp\u003e3.1.3 Knowledge Graphs 36\u003c\/p\u003e \u003cp\u003e3.1.4 Social Media 38\u003c\/p\u003e \u003cp\u003e3.1.5 Web Mining 38\u003c\/p\u003e \u003cp\u003e3.2 Scientific Data 40\u003c\/p\u003e \u003cp\u003e3.2.1 Biomedical Data 40\u003c\/p\u003e \u003cp\u003e3.2.2 Physics and Astrophysics Data 41\u003c\/p\u003e \u003cp\u003e3.2.3 Environmental Sciences 44\u003c\/p\u003e \u003cp\u003e3.3 Industrial Data 45\u003c\/p\u003e \u003cp\u003e3.3.1 Smart Factories 45\u003c\/p\u003e \u003cp\u003e3.3.2 SmartGrid 47\u003c\/p\u003e \u003cp\u003e3.3.3 Aviation 47\u003c\/p\u003e \u003cp\u003e3.4 Internet of Things 48\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Big Data Tasks 51\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Recommender Systems 51\u003c\/p\u003e \u003cp\u003e4.2 Search 52\u003c\/p\u003e \u003cp\u003e4.3 Ad-tech and RTB Algorithms 55\u003c\/p\u003e \u003cp\u003e4.4 Cross-Device Graph Generation 57\u003c\/p\u003e \u003cp\u003e4.5 Forecasting and Prediction Systems 58\u003c\/p\u003e \u003cp\u003e4.6 Social Media Big Data 59\u003c\/p\u003e \u003cp\u003e4.7 Anomaly and Fraud Detection 61\u003c\/p\u003e \u003cp\u003e4.8 New Drug Discovery 63\u003c\/p\u003e \u003cp\u003e4.9 Smart Grid Control and Monitoring 64\u003c\/p\u003e \u003cp\u003e4.10 IoT and Big Data Applications 65\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Cloud Computing 67\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Cloud Enabled Architectures 67\u003c\/p\u003e \u003cp\u003e5.1.1 Cloud Management Platforms 67\u003c\/p\u003e \u003cp\u003e5.1.2 Efficient Cloud Computing 73\u003c\/p\u003e \u003cp\u003e5.1.3 Distributed Storage Systems 75\u003c\/p\u003e \u003cp\u003e5.2 Agents and the Cloud 82\u003c\/p\u003e \u003cp\u003e5.2.1 Multi-agent Versus Cloud Paradigms 83\u003c\/p\u003e \u003cp\u003e5.2.2 Agents in the Cloud 83\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Big Data Architectures 87\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Big Data Computation Models 87\u003c\/p\u003e \u003cp\u003e6.1.1 MapReduce 87\u003c\/p\u003e \u003cp\u003e6.1.2 Directed Acyclic Graph Models 89\u003c\/p\u003e \u003cp\u003e6.1.3 All-Pairs 92\u003c\/p\u003e \u003cp\u003e6.1.4 Very Large Bitmap Operations 93\u003c\/p\u003e \u003cp\u003e6.1.5 Message Passing Interface 94\u003c\/p\u003e \u003cp\u003e6.1.6 Graphical Processing Unit Computing 95\u003c\/p\u003e \u003cp\u003e6.2 Publish-Subscribe Systems 97\u003c\/p\u003e \u003cp\u003e6.3 Stream Processing 99\u003c\/p\u003e \u003cp\u003e6.3.1 Information Flow Processing Concepts 99\u003c\/p\u003e \u003cp\u003e6.3.2 Stream Processing Systems 101\u003c\/p\u003e \u003cp\u003e6.4 Higer Level Big Data Architectures 110\u003c\/p\u003e \u003cp\u003e6.4.1 Spark 110\u003c\/p\u003e \u003cp\u003e6.4.2 Lambda 112\u003c\/p\u003e \u003cp\u003e6.4.3 Multi-Agent View of the Lambda Architecture 113\u003c\/p\u003e \u003cp\u003e6.4.4 Questioning the Lambda 115\u003c\/p\u003e \u003cp\u003e6.5 Industry and Other Approaches 116\u003c\/p\u003e \u003cp\u003e6.6 Actor and Agent-Based Big Data Architectures 118\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Big Data Analytics, Mining, and Machine Learning 121\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 To SQL or Not to SQL 122\u003c\/p\u003e \u003cp\u003e7.1.1 SQL Hadoop Interfaces 123\u003c\/p\u003e \u003cp\u003e7.1.2 From Shark to SparkSQL 125\u003c\/p\u003e \u003cp\u003e7.2 Big Data Mining and Machine Learning 128\u003c\/p\u003e \u003cp\u003e7.2.1 Graph Mining 133\u003c\/p\u003e \u003cp\u003e7.2.2 Agent Based Machine Learning and Data Mining 134\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Physically Distributed Systems – Mobile Cloud, Internet of Things, Edge Computing 137\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Mobile Cloud 138\u003c\/p\u003e \u003cp\u003e8.2 Edge and Fog Computing 145\u003c\/p\u003e \u003cp\u003e8.2.1 Business Case: Mobile Context Aware Recommender System 147\u003c\/p\u003e \u003cp\u003e8.3 Internet of Things 148\u003c\/p\u003e \u003cp\u003e8.3.1 IoT Fundamentals 148\u003c\/p\u003e \u003cp\u003e8.3.2 IoT and the Cloud 151\u003c\/p\u003e \u003cp\u003e8.3.3 MAS in IoT 156\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Summary 159\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eBibliography 161\u003c\/p\u003e \u003cp\u003eIndex 179\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49407095701847,"sku":"9781119597841","price":40.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119597841.jpg?v=1730498160","url":"https:\/\/bookcurl.com\/products\/modern-big-data-architectures-9781119597841","provider":"Book Curl","version":"1.0","type":"link"}