{"product_id":"139306","title":"How to Use Graph Data for Practitioners ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jXPBu9VEWlyNWlYTf709q8U0ef9Yf.png?v=1765074390\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e How to Use Graph Data for Practitioners \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/109182582\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\u003cdiv\u003e \u003cb\u003eKorea's first graph thinking guide,\u003cbr\u003e The Complete Guide to Graph Thinking to Develop Problem-Solving Skills\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Data is becoming increasingly massive and complex.\u003cbr\u003e If you're looking for a helping hand amidst the deluge of data, open this book. \u003cbr\u003eComputers rely on static data in rows and columns, while people navigate and infer life through relationships.\u003cbr\u003e Graph data bridges the gap between how people and computers view the world.\u003cbr\u003e This book introduces a new way of thinking, graph thinking, and guides you through two approaches to working with graph data.\u003cbr\u003e By following this book, you will master graph thinking, graph theory, database schemas, distributed systems, and data analysis, and learn how to efficiently build graph data to solve complex problems.\u003cbr\u003e\n\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cul\u003e\u003cli\u003e You can preview some of the book's contents.\u003cbr\u003e \u003cspan\u003ePreview\u003c\/span\u003e\n\n\u003c\/li\u003e\u003c\/ul\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003eCHAPTER 1: Graph Thinking\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 1.1 Emerging Graph Technologies\u003cbr\u003e 1.2 What is Graph Thinking?\u003cbr\u003e 1.3 Choosing a technology to solve complex problems\u003cbr\u003e 1.4 Starting Your Graph Thinking Journey\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 2 From Relational to Graph Thinking\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e2.1 Preview of Chapter 2: Translating Relational Concepts into Graph Terms\u003cbr\u003e 2.2 Differences between Relational and Graph\u003cbr\u003e 2.3 Relational Data Modeling\u003cbr\u003e 2.4 Concept of graph data\u003cbr\u003e 2.5 Graph Schema Language\u003cbr\u003e 2.6 Relational vs. Graph: Decision Considerations\u003cbr\u003e 2.7 In conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 3: Simple Customer 360\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 3.1 Chapter 3 Preview: Relational vs. Graph\u003cbr\u003e 3.2 Graph Data Basic Use Case: Customer 360 (C360)\u003cbr\u003e 3.3 Implementing C360 Applications with Relational Systems\u003cbr\u003e 3.4 Implementing C360 Applications with Graph Systems\u003cbr\u003e 3.5 Relational vs. Graph: When to Choose\u003cbr\u003e 3.6 In conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 4 DEVELOPING NEIGHBORHOOD EXPLORATION\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 4.1 Chapter 4 Preview: Creating a More Realistic C360\u003cbr\u003e 4.2 Graph Data Modeling 101\u003cbr\u003e 4.3 Neighborhood Search Development Detailed Implementation\u003cbr\u003e 4.4 Basic Gremlin Exploration\u003cbr\u003e 4.5 Advanced Gremlin: Refining Query Results\u003cbr\u003e 4.6 Moving from the Development Stage to the Product Stage\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 5: PRODUCING NEIGHBORHOOD EXPLORATION\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e5.1 Chapter 5 Preview: Understanding Distributed Graph Data in Apache Cassandra\u003cbr\u003e 5.2 Using Graph Data in Apache Cassandra\u003cbr\u003e 5.3 Graph Data Modeling 201\u003cbr\u003e 5.4 Final Product Implementation\u003cbr\u003e 5.5 More complex, distributed graph problems\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 6: DEVELOPMENT USING TREES\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 6.1 Preview of Chapter 6: Tree Traversal, Hierarchical Data, and Recursion\u003cbr\u003e 6.2 Hierarchical, nested data in three examples\u003cbr\u003e 6.3 Finding Your Way Through the Forest of Terminology\u003cbr\u003e 6.4 Understanding Hierarchy with Sensor Data\u003cbr\u003e 6.5 Development Mode: Querying from Leaf to Root\u003cbr\u003e 6.6 Development Mode: Querying from Root to Leaf\u003cbr\u003e 6.7 Check time information\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 7 PRODUCING TREES\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 7.1 Chapter 7 Preview: Understanding Branching Coefficients, Depth, and Edge Timing\u003cbr\u003e 7.2 Understanding the Time of Sensor Data\u003cbr\u003e 7.3 Understanding Branching Coefficients\u003cbr\u003e 7.4 Sensor Data Product Schema\u003cbr\u003e 7.5 Product Mode: Querying from Leaf to Root\u003cbr\u003e 7.6 Product Mode: Querying from Root to Leaf\u003cbr\u003e 7.7 Applying Queries to Tower Failure Scenarios \u003cbr\u003e7.8 Seeing the forest for the trees\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 8 Path Finding Development\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 8.1 Chapter 8 Preview: Quantifying Trust in a Network\u003cbr\u003e 8.2 Trust through Three Examples\u003cbr\u003e 8.3 Path Basic Concepts\u003cbr\u003e 8.4 Finding Paths in a Trust Network\u003cbr\u003e 8.5 Understanding Navigation with the Bitcoin Trust Network\u003cbr\u003e 8.6 Shortest Path Queries\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 9 PRODUCING PATH FINDING\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 9.1 Chapter 9 Preview: Understanding Weights, Distances, and Pruning\u003cbr\u003e 9.2 Weighted Paths and Search Algorithms\u003cbr\u003e 9.3 Normalizing Edge Weights for the Shortest Path Problem\u003cbr\u003e 9.4 Shortest Weighted Path Query\u003cbr\u003e 9.5 Weighted path and trust of the product\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 10 RECOMMENDED DEVELOPMENT\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 10.1 Preview of Chapter 10: Collaborative Filtering for Movie Recommendations\u003cbr\u003e 10.2 Recommendation System Example\u003cbr\u003e 10.3 Introduction to Collaborative Filtering\u003cbr\u003e 10.4 Movie Data: Schema, Loading, and Query Review\u003cbr\u003e 10.5 Item-Based Collaborative Filtering in Gremlin\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 11 Simple Object Interpretation of Graphs\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 11.1 Chapter 11 Preview: Merging Multiple Datasets into a Single Graph \u003cbr\u003e11.2 Defining another complex problem: object interpretation\u003cbr\u003e 11.3 Analyzing Two Movie Datasets\u003cbr\u003e 11.4 Movie Data Matching and Merging\u003cbr\u003e 11.5 Addressing False Positives\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 12 RECOMMENDED PRODUCTION\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 12.1 Preview of Chapter 12: Understanding Shortcut Edges, Precomputation, and Advanced Pruning Techniques\u003cbr\u003e 12.2 Shortcut trunk lines for real-time recommendations\u003cbr\u003e 12.3 Computing Shortcut Edges in Movie Data\u003cbr\u003e 12.4 Movie Recommendation Product Schema and Data Loading\u003cbr\u003e 12.5 Recommendation Queries Using Shortcut Edges\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 13 Conclusion\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 13.1 Where to go now\u003cbr\u003e 13.2 Exchanging Contacts\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eDetailed image\u003c\/b\u003e \u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/image.yes24.com\/momo\/TopCate3827\/MidCate001\/382607105.jpg\" border=\"0\" alt=\"Detailed Image 1\"\u003e\u003c\/div\u003e\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003ePublisher's Review\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003eNow is the era of graph databases!\u003cbr\u003e Meet the new paradigm of graph thinking\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e A guide to using graph databases, co-written by the CDO and CTO of data management company Datastax! This book captures the knowledge and expertise they've gained from advising various teams. \u003cbr\u003eWe present the concept of \"graph thinking\" as a way to extract value from massive and complex data, and kindly guide you to transform your way of thinking into graph thinking.\u003cbr\u003e With rich illustrations and practical examples that help you understand the concepts, we give you the secret key to understanding the world in the era of graph databases.\u003cbr\u003e Learn how to efficiently structure data with graph thinking and become a more advanced data engineer.\u003cbr\u003e\u003cbr\u003e \u003cb\u003eTarget audience\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e ● Data engineers and data architects who want to use graph data effectively\u003cbr\u003e ● Data scientists and data analysts who want to learn graph thinking\u003cbr\u003e Anyone curious about graph thinking (having basic database knowledge will make the concept easier to understand)\u003cbr\u003e\u003cbr\u003e \u003cb\u003eKey Contents\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e ● Building architectures with relational and graph databases \u003cbr\u003e● Implementing the Customer 360 Application with the Popular Graph Data Pattern\u003cbr\u003e ● Troubleshooting issues that arise when working with graph data in hierarchical data\u003cbr\u003e ● Examine different ways to find a route and how the route affects preference.\u003cbr\u003e ● Designing a Netflix-like movie recommendation system using collaborative filtering \u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e GOODS SPECIFICS \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eDate of issue:\u003c\/strong\u003e May 10, 2022\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 448 pages | 183*235*30mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9791162245590\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN10:\u003c\/strong\u003e 116224559X \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default Title","offer_id":43893351972906,"sku":"139306","price":45.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0683\/2750\/5962\/files\/3f8357a3c1234337160b7628d48cd84a.jpg?v=1765397837","url":"https:\/\/librairie.coreenne.fr\/en\/products\/139306","provider":"LIBRAIRIE COREENNE","version":"1.0","type":"link"}