Graph Databases in Action

von Dan Bechberger, Josh Perryman

350 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

Graph Databases in Action introduces you to graph database concepts by comparing them with relational database constructs. You'll learn just enough theory to get started, then progress to hands-on development. Discover use cases involving social networking, recommendation engines, and personalization.SummaryRelationships in data often look far more like a web than an orderly set of rows and columns. Graph databases shine when it comes to revealing valuable insights within complex, interconnected data such as demographics, financial records, or computer networks. In Graph Databases in Action, experts Dave Bechberger and Josh Perryman illuminate the design and implementation of graph databases in real-world applications. You'll learn how to choose the right database solutions for your tasks, and how to use your new knowledge to build agile, flexible, and high-performing graph-powered applications!About the technologyIsolated data is a thing of the past! Now, data is connected, and graph databases—like Amazon Neptune, Microsoft Cosmos DB, and Neo4j—are the essential tools of this new reality. Graph databases represent relationships naturally, speeding the discovery of insights and driving business value.About the bookGraph Databases in Action introduces you to graph database concepts by comparing them with relational database constructs. You'll learn just enough theory to get started, then progress to hands-on development. Discover use cases involving social networking, recommendation engines, and personalization.What's insideGraph databases vs. relational databasesSystematic graph data modelingQuerying and navigating a graphGraph patternsPitfalls and antipatternsAbout the readerFor software developers. No experience with graph databases required.About the authorDave Bechberger and Josh Perryman have decades of experience building complex data-driven systems and have worked with graph databases since 2014.Table of ContentsPART 1 - GETTING STARTED WITH GRAPH DATABASES1 Introduction to graphs2 Graph data modeling3 Running basic and recursive traversals4 Pathfinding traversals and mutating graphs5 Formatting results6 Developing an applicationPART 2 - BUILDING ON GRAPH DATABASES7 Advanced data modeling techniques8 Building traversals using known walks9 Working with subgraphsPART 3 - MOVING BEYOND THE BASICS10 Performance, pitfalls, and anti-patterns11 What's next: Graph analytics, machine learning, and resources

• Themen: Informatik und Informationstechnologie Datenbanken / Datenmanagement Data Warehousing
• ISBN: 9781617296376
• Sprache: Englisch
• Erscheinungsdatum: 07.03.2021
• Größe: 232 x 186 mm
• Verlag: Manning Publications