
Graph Database Modeling: 2nd Edition
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Description
This book, "Graph Database Modeling," is born out of the necessity to equip the next generation of technologists, engineers, and data scientists with the mindset and skills required to navigate this new paradigm. It is designed to be more than just a technical manual; it is a guide to mastering the art and science of modeling the world as it truly is—a network of interconnected entities.Key Features:1. NEP 2020 Aligned Pedagogy: Focuses on conceptual understanding and practical skill development over rote learning.2. Lucid and Simple Language: Complex topics are broken down into easy-to-understand sections, making the book accessible to beginners.3. Abundant Practical Examples: Uses relatable scenarios like social networks, e-commerce, and logistics to illustrate every concept.4. Dual Model Coverage: Provides in-depth coverage of both the Labeled Property Graph (LPG) model and the W3C standard RDF model.5. Hands-On Querying: Features dedicated chapters on Cypher and SPARQL, the two most important graph query languages, with ready-to-run code.6. Core Modeling Chapter: A unique chapter dedicated to the art and science of graph data modeling, covering methodologies, patterns, and anti-patterns.7. Advanced Topics for M.Tech: Includes chapters on graph algorithms, system architecture, scalability, and security to cater to advanced learners and aspiring architects.8. Future-Forward Outlook: Concludes with a look at cutting-edge topics like Graph Neural Networks (GNNs) and the role of graphs in modern AI.Who Should Read This Book?1. B.Tech and M.Tech students of Computer Science and IT.2. Software Developers and Engineers looking to transition to graph technologies.3. Data Scientists and Analysts seeking to leverage graph analytics.4. Database Administrators and Solution Architects designing modern data platforms.5. Faculty and educators looking for a comprehensive textbook on graph databases.By the end of this book, you will not only understand the technicalities of graph databases but will also possess the skills and
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Épisodes (12)
Chapter 10: Case Studies and the Future of Graphs. 144
Chapter 1: The Graph Paradigm: A New Way of Thinking
Chapter 2: Fundamentals of Graph Theory for Data Modeling
Chapter 3: The Labeled Property Graph (LPG) Model
Chapter 4: Querying Property Graphs with Cypher
Chapter 5: The RDF and Knowledge Graph Model
Chapter 6: Querying RDF and Knowledge Graphs with SPARQL 79
Chapter 7: The Art of Graph Data Modeling
Chapter 8: Graph Algorithms in Practice
Chapter 9: Advanced Topics and System Architecture