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Are they just a passing trend—here today and gone tomorrow – or are they a rising tide your business and your development team can’t afford to pass up?  \nWhether you’re a business executive or a seasoned developer, something—maybe a business challenge or a task your current database can’t handle—has led you on the quest to learn more about graphs and what they can do.  \nIn this Graph Databases For Beginners ebook, we’ll take you through the basics of graph technology assuming you have little (or no) background in the technology. We’ll also include some useful tips that will help you if you decide to make the switch to Neo4j.  \nBefore we dive in, what is it that makes graphs not only relevant, but necessary in today’s world? The first is its focus on relationships. Collectively we are gathering more data than ever before, but more and more frequently it’s how that data is related that is truly important.  \nTake fraud detection as an example. Financial institutions and insurance companies lose billions of dollars every year to fraudsters. But many of them now rely on Neo4j to successfully uncover fraud rings by bringing previously hidden relationships to light.  \nBut it’s not only this focus on relationships that makes Neo4j so powerful. A whiteboard data model that’s flexible and scalable to evolve along with your data; an intuitive query language that makes writing queries simple; and agility that saves your company valuable time all make Neo4j stand out from other NoSQL offerings and traditional relational database (RDBMS) technologies. (Are these terms unfamiliar to you? Don’t worry—we’ll explain them in the chapters to follow.)  \nIn short, graph databases are the future. And even if you’re just a beginner, it’s never too late to get started. We invite you to learn more about this new technology in the pages that follow. And as you read, feel free to reach out to us with your questions.  \nHappy Graphing, Bryce, Joy & Rachel  \n[1](1 neo4j.com)[ neo4j.com](1 neo4j.com)  \nGraph Databases For Beginners  \nChapter 1  \nGraphs are the Future  \nWhy You Should Care about Graph Databases  \nNew tech is great, but you operate in a world of budgets, timelines, corporate standards and competitors. You don’t merely replace your existing database infrastructure just because something new comes along – you only take action when an orders-of-magnitude improvement is at hand.  \nGraph databases fit that bill, and here’s why:  \nPerformance  \nYour data volume will definitely increase in the future, but what’s going to increase at an even faster clip is the connections (or relationships) between your individual data points. With traditional databases, relationship queries (also known as “JOINs”) will come toa grinding halt as the number and depth of relationships increase. In contrast, graph database performance stays consistent even as your data grows year over year.  \nFlexibility  \nWith graph databases, your IT and data architect teams move at the speed of business because","cbCailwmZ4MUYQBc","https://ap.wps.com/l/cbCailwmZ4MUYQBc","pdf",4014980,46,"English","# Introduction\n## Graphs Are the Future\n## Why Data Relationships Matter\n## Data Modeling Basics\n## Data Modeling Pitfalls to Avoid\n## Why a Database Query Language Matters\n## Imperative vs. Declarative Query Languages\n## Graph Theory & Predictive Modeling\n## Graph Search Algorithm Basics\n## Why We Need NoSQL Databases\n## ACID vs. BASE Explained\n## Aggregate Stores Tour\n## Other Graph Databases\n## Native vs. Non-Native Graph Processing\n# Conclusion","[{\"question\":\"What makes graph databases especially relevant today?\",\"answer\":\"They focus on relationships between data points, which becomes increasingly important as connected data grows. The ebook positions graph databases as necessary for modern data relationship needs.\"},{\"question\":\"How does graph database performance compare with traditional databases?\",\"answer\":\"Graph database performance stays consistent as the amount and depth of relationships increases. Traditional systems can slow down relationship queries as joins become more complex.\"},{\"question\":\"What basic elements make up a graph database?\",\"answer\":\"A graph database is composed of nodes and relationships. Nodes represent entities, while relationships describe how two nodes are associated.\"}]","Graph Databases For Beginners | PDF",1792965973,116]